Journal articles: 'Induction motor performance'

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Singh, Yaduvir, Darshan Singh, and Dalveer Kaur. "Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (March 5, 2013): 400–413. http://dx.doi.org/10.24297/ijct.v6i3.4464.

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than theÂ conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PIÂ controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motorÂ Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strongÂ ability to adapt to the significant change of system parameters.

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Syahputra, Ramadoni, Hedi Purwanto, Rama Okta Wiyagi, Muhamad Yusvin Mustar, and Indah Soesanti. "Analysis of Induction Motor Performance Using Motor Current Signature Analysis Technique." Journal of Electrical Technology UMY 5, no. 1 (July 21, 2021): PRESS. http://dx.doi.org/10.18196/jet.v5i1.11764.

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This paper discusses the analysis of the performance of an induction motor using the motor current signature analysis (MCSA) technique. Induction motor is a type of electric machine that is widely used in industry. One of the industries that utilize induction motors is a steam power plant (SPP). The role of induction motors is very vital in SPP operations. Therefore, it is necessary to monitor the performance, stability, and efficiency to anticipate disturbances that can cause damage or decrease the life of the induction motor. MCSA is a reliable technique that can be used to analyze damage to an induction motor. In this technique, the induction motor current signal is detected using a current transducer. The signal is then passed on to the signal conditioning and then into the data acquisition device. The important signal data is analyzed in adequate computer equipment. The results of this analysis determine the condition of the induction motor, whether it is normal or damaged. In this research, a case study was carried out at the Rembang steam power plant, Central Java, Indonesia. The results of the analysis of several induction motors show that most of them are in normal conditions and are still feasible to operate.

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Tubbs, S. P. "Superconducting synchronous induction motor performance." IEE Proceedings B Electric Power Applications 137, no. 2 (1990): 120. http://dx.doi.org/10.1049/ip-b.1990.0012.

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Bakhti, Ibtissem, Souad Chaouch, and Abdesselam Maakouf. "High performance backstepping control of induction motor with adaptive sliding mode observer." Archives of Control Sciences 21, no. 3 (January 1, 2011): 331–44. http://dx.doi.org/10.2478/v10170-010-0047-y.

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High performance backstepping control of induction motor with adaptive sliding mode observerIt is well known that modern control of induction motor relies on a good dynamic model of the motor. Extensive research and activity have been devoted to the problem of induction motor control over the last decade. In this paper we introduce backstepping control with amelioration of performance to guarantee stability of the system. Accurate knowledge of the rotor speed and flux position is the key factor in obtaining a high-performance and high-efficiency induction-motor drive. Thus a sliding mode observer design is presented. Simulation results are included to illustrate good performance of backstepping control of sensorless induction motors with flux observer.

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Raj P R, Neethu, and Vasanthi V. "Performance Analysis of Photovoltaic Induction Motor Drive for Agriculture Purpose." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 4 (December 1, 2016): 1252. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1252-1260.

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This paper presents water pumping system using renewable source (solar) without the use of chemical storage batteries. In this converter-inverter circuit is used to drive Induction motor. The Converter used here is Two Inductor boost converter (TIBC), which consists of a resonant tank, voltage doubler rectifier and a snubber circuit. TIBC is designed to drive the three phase induction motor from PV energy. TIBC converter is also known as current fed multi resonant converter having high voltage gain and low input current ripple. Converter switches are controlled through hysteresis controller and ZCS resonant topologies. Solar PV power fluctuates according to irradiation level of sunlight and hence tracking of maximum power at all time is mandatory. SPWM control with third harmonic injection is used to trigger the IGBT’s in the inverter. The development is oriented to achieve a more efficient, reliable, maintenance free and cheaper solution than the standard ones, that uses DC motors or low voltage synchronous motors. The proposed method is verified with MATLAB/SIMULINK and the system simulation confirms the performance of the proposed system.

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Vaimann, Toomas, Ants Kallaste, and Aleksander Kilk. "Sensorless Detection of Induction Motor Rotor Faults Using the Clarke Vector Approach." Scientific Journal of Riga Technical University. Power and Electrical Engineering 28, no. 1 (January 1, 2011): 43–48. http://dx.doi.org/10.2478/v10144-011-0007-9.

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Sensorless Detection of Induction Motor Rotor Faults Using the Clarke Vector ApproachDue to their rugged build, simplicity and cost effective performance, induction motors are used in a vast number of industries, where they play a significant role in responsible operations, where faults and downtimes are either not desirable or even unthinkable. As different faults can affect the performance of the induction motors, among them broken rotor bars, it is important to have a certain condition monitoring or diagnostic system that is guarding the state of the motor. This paper deals with induction motor broken rotor bars detection, using Clarke vector approach.

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Shen, Cuifeng, and Hanhua Yang. "A High Performance of Induction Motor Drive System." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 8 (December 3, 2020): 1129–34. http://dx.doi.org/10.2174/2352096513999200505110457.

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Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

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Zhang, Feng Ge, and Hong Yong Xia. "Dynamic Simulation Analysis of Heavy Load Starting Light Load Running Induction Motor with High-Performance." Advanced Materials Research 588-589 (November 2012): 526–29. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.526.

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For the problem of heavy load starting induction motors in operation efficiency and power factor are low, a kind of heavy load starting light load running induction motor with high-performance is presented. In order to study the feasibility of this motor, the state equation of the motor is established and the dynamic simulation program of the motor is compiled. Finally, the program is simulated using software and the simulation result is analyzed.

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Taniguchi, K., Y. Takeda, and T. Hirasa. "High-performance slip-power recovery induction motor." IEE Proceedings B Electric Power Applications 134, no. 4 (1987): 193. http://dx.doi.org/10.1049/ip-b.1987.0033.

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Ozcelik, Nezih Gokhan, Ugur Emre Dogru, Murat Imeryuz, and Lale T. Ergene. "Synchronous Reluctance Motor vs. Induction Motor at Low-Power Industrial Applications: Design and Comparison." Energies 12, no. 11 (June 8, 2019): 2190. http://dx.doi.org/10.3390/en12112190.

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Although three-phase induction motors are the most common motor type in industry, a growing interest has arisen in emerging electric motor technologies like synchronous reluctance motors and permanent magnet motors. Synchronous reluctance motors are a step forward compared to permanent magnet motors when the cost of the system is considered. The main focus of this study is low-power industrial applications, which generally use three-phase induction motors. In this study, the synchronous reluctance motor family is compared at three different power levels: 2.2 kW, 4 kW, and 5.5 kW. The aim of this study is to design and compare synchronous reluctance motors, which can be alternative to the reference induction motors. Finite element analysis is performed for the reference induction motors initially. Their stators are kept the same and the rotors are redesigned to satisfy output power requirements of the induction motors. Detailed design, analysis, and optimization processes are applied to the synchronous reluctance motors considering efficiency, power density, and manufacturing. The results are evaluated, and the optimized designs are chosen for each power level. They are prototyped and tested to measure their performance.

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Jassim, Abdulsatar, Arkan Hussein, and Laith Abbas. "The Performance of a Three-Phase Induction Motor under and over Unbalance Voltage." Tikrit Journal of Engineering Sciences 28, no. 2 (February 10, 2021): 15–32. http://dx.doi.org/10.25130/tjes.28.2.02.

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Voltage unbalance is an adverse global phenomenon impacting three-phase induction motor output. Three-phase source voltage may become imbalanced in a variety of respects, while a balanced system preserves stable voltage magnitude and angles in three phases, but a completely balanced state is difficult to get. Imbalanced cases may differ in multiple ranges which may practically affect the motor. So, this work is an effort to analyze the operations with appropriate propositions. The output of a three-phase induction motor working with an imbalanced supply grid, MATLAB/SIMULINK is further used for simulation purposes and programming based on the asymmetrical component approach is adopted. A new design for system rerating is being proposed. As a case study, a 10 HP three-phase induction motor was used. The findings of the study show that to determine the output of the induction motor, positive voltage series must be respected under the voltage unbalance factor (VUF) or proportion voltage unbalance index with six various voltage magnitude imbalance conditions, the copper losses of three-phase induction motors were calculated under full load conditions by simulation. So, the qualified percentage change in total copper losses for the motor operating under imbalanced and balanced voltages was determined.

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Mhway, Aye Mya, Nan Win Aung, and May Nwe Yee Tun. "Design and Performance Analysis of Proposed Single-Sided Linear Induction Motor used in Elevator." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 387–93. http://dx.doi.org/10.31142/ijtsrd19005.

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Keskin Arabul, Fatma, Ibrahim Senol, and Yasemin Oner. "Performance Analysis of Axial-Flux Induction Motor with Skewed Rotor." Energies 13, no. 19 (September 23, 2020): 4991. http://dx.doi.org/10.3390/en13194991.

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In recent years, with developing technology in the field of electrical machines, more efficient and high power density electric motors have been produced. The use of high energy efficiency motors gains importance due to the increase in global energy demand. The main purpose of this study was to design an Axial Flux Induction Motor (AFIM) with the same efficiency class as the Radial Flux Induction Motor (RFIM) in premium efficiency (IE3) class which is used commonly in industrial applications. Various AFIMs are designed with different rotor slot numbers and performance analyses as efficiency and torque ripple changes are investigated. It is known that torque ripple is one of the key parameters in electrical machine design which should be kept as low as possible without decreasing efficiency and torque. Accordingly, AFIMs’ rotor slots are skewed considering the stator and rotor slot numbers. The use of a Soft Magnetic Composites (SMC) material in design is also investigated. As a result of the analyses, many premium efficiency classes for AFIMs are obtained. In addition, using SMC material and skewing the rotor slots provides that torque ripples be reduced.

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Quispe, Enrique C., Iván D. López, Fernando J. T. E. Ferreira, and Vladimir Sousa. "Unbalanced Voltages Impacts on the Energy Performance of Induction Motors." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (June 1, 2018): 1412. http://dx.doi.org/10.11591/ijece.v8i3.pp1412-1422.

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This paper presents the results of a study about the effects of unbalanced voltages on the energy performance of three-phase induction motors. The principal contribution of this paper is that presents a detailed analysis of the influence of positive and negative sequence voltage components and the angle between them on several characteristics such as: line currents, losses, efficiency and power factor under different voltage unbalanced conditions. A three-phase induction motor of 3 HP was used as a case study. The results of the investigation show that the positive sequence voltage must be considered together with the voltage unbalance factor (VUF) or percent voltage unbalance (PVU) index to evaluate the performance of the induction motor. It is also shown that the behavior of the motor load influences on the positive sequence parameters next to the voltage, while in the case of negative sequence only influences the negative sequence voltage.

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Al-Jubori, Waleed Khalid Shakir, and Yasir Abdulhafedh Ahmed. "Study and analysis the effect of variable applied voltage on SCIM performances based on FEA." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (September 1, 2020): 1230. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1230-1240.

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Study and analysis the effect of variable applied voltage on SCIM performances based on FEA is presented. Three phase squirrel cage induction motor SCIM has been investigated and numerically simulated using finite element method (FEM) with the aid of ANSYS software (RMxprt and Maxwell 2D/3D). This research presents study and analysis of the effects of the voltage variation on performance and efficiency of the three-phase induction motor of the squirrel cage type. The Finite Elements Analysis Method FEA is used as one of the best methods for analysis and simulation of electrical motors in addition to the possibility of dealing with nonlinear equations, Since the induction motor is a complex electromagnetic reaction, the researchers used the ANSYS program to represent and analyze the performance of the motor under variable supply voltage. The case studied in this research is three phases, 380V, 50Hz, 2.2kW, induction motor that widely use in industrial application. The aim of this research is to study the effect of voltage variation on efficiency, current value, power factor and torque of SCIM. The RMxprt software has been used for modeling and simulating the induction motor and calculating the values of phases currents, input and output power in additional of overall efficiency at steady state condition. The next stage of the research is creating Maxwell 2-D design from the base model of RMxprt software, Maxwell 2-D model has the ability to computing the distribution of magnetic field and explaining the performance under steady-state operation. The obtained results show significant reduction of motor performance due to the effect of variation of apply voltage.

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Qi, Wei Min, Jie Xiao, and You Han Deng. "Induction Motor Protection System Based on Fuzzy Logic." Applied Mechanics and Materials 719-720 (January 2015): 584–89. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.584.

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The protection is very important to detect abnormal motor running conditions such as over current, over voltage, overload, over temperature, and so on. When a failure is sensed by the protection system, a time delay should be specified to trip the motor. In the classical systems, motors are stopped with the time delay, which is adjusted constantly without considering the fault level. This paper presents a fuzzy logic-based protection system covering six different fault parameters for induction motors. The paper focuses on a new time-delay calculation for stopping induction motor and improves the overall detection performance. The time delay is computed by fuzzy logic method according to various fault parameters when one of the failures occurs on the motor. This system is successfully tested in real-time faults on the motor, and it shows that it provides sensitive protection by fuzzy rules.

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Fan, Zeyang, Hong Yi, Jian Xu, Kun Xie, Yue Qi, Sailin Ren, and Hongdong Wang. "Performance Study and Optimization Design of High-Speed Amorphous Alloy Induction Motor." Energies 14, no. 9 (April 26, 2021): 2468. http://dx.doi.org/10.3390/en14092468.

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Due to the simple structure, low inertia and the ability to operate for a long time under high-speed and high-temperature conditions, the induction motor is widely used in high-speed applications. Aiming at the most prominent loss and stress problems in high-speed induction motors, the use of low loss material and the choice of a reliable rotor structure are effective optimized methods. In this paper, the electromagnetic loss, stator temperature distribution and performance parameters of high-speed induction motor are analyzed with stator cores of different materials. In addition, for the different rotor structures, the mechanical stress is compared. Furthermore, the comparison and analysis are used to improve the motor performance and provide a reference for prototype development. A performance test of the prototype is conducted, which proves the validity of the study in this paper.

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Balamurugan, N., and S. Selvaperumal. "Experimental Analysis of Performance and Thermal Capability of Three Phase Squirrel Cage Induction Motor Using Plastered Composite Conductors." Current Nanomaterials 4, no. 3 (November 11, 2019): 201–5. http://dx.doi.org/10.2174/2405461504666190912144746.

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Background: This article deals with the analysis on improved performance and efficiency of induction motor by using nano composites for stator winding. Methods: The nanocomposites are added with different enamel. Enamel is mostly preferred for induction motors’ winding, due to three main reasons: adhesion, infusion and plaster. To predetermine the plaster and nanocomposite conductor’s behavior when they are used for transmitting AC currents and developing AC magnetic field, a numerical analysis is performed. The total heat losses are determined by the heat run test. Open circuit and short circuit tests are used to analyze the performance and efficiency of the proposed induction motor. Results: The AC losses of composite and plaster conductors having good accord are compared with previous solid and hollow conductors. Analysis of the coil by a composite and plaster conductor shows that the AC losses in low current are lower than the coil, which is wrapped by a solid, and hallow conductors. Due to this reason, composite and plaster conductors are considered advantageous for low and medium power motors. Conclusion: Adding nano composites with the plaster material will help to improve electrical, thermal and mechanical characteristics. The property of enamel can change the lifetime of induction motor. The induction motor winding makes use of nano composites SiO2 and TiO2 with enamel coated.

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Abdel-moamen, Dalia, M. Abdel-Rhman, R. A. Swief, and M. Abdel-Lattif Badr. "On the Natural Frequency of Oscillations of Induction Motors." Academic Research Community publication 2, no. 4 (January 1, 2019): 447. http://dx.doi.org/10.21625/archive.v2i4.388.

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For transient stability analysis, the rotor dynamics of the induction motor have to be included. These dynamics affect the system stability when severe disturbances hit it and cause frequency deviations. For large systems, frequency deviations are small. However, it may cause loss of synchronism and break the system into smaller areas. Motor loads are sensitive to system frequency deviations. Any change in the grid frequency, changes extremely the slip. This follows by changes of the motor torque and the motor speed. The demanded active and reactive powers change as well. Natural frequencies of induction motors is considered a unique property has a great effect on its behavior during different operation conditions. This work presents the performance of the induction motors through different power systems. Based on time domain simulation models study the natural frequency of induction motors, their response in normal and abnormal operation is analyzed to illustrate the dynamics associated.

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Lee, Hyung-Woo, Chan-Bae Park, and Byung-Song Lee. "Thrust Performance Improvement of a Linear Induction Motor." Journal of Electrical Engineering and Technology 6, no. 1 (January 1, 2011): 81–85. http://dx.doi.org/10.5370/jeet.2011.6.1.081.

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Iwawaki, Takamasa, Mamiko Inamori, and Masayuki Morimoto. "Performance of Induction Motor Made of SMC Core." IEEJ Transactions on Industry Applications 134, no. 9 (2014): 815–20. http://dx.doi.org/10.1541/ieejias.134.815.

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Jul-Ki Seok and Seung-Ki Sul. "Induction motor parameter tuning for high-performance drives." IEEE Transactions on Industry Applications 37, no. 1 (2001): 35–41. http://dx.doi.org/10.1109/28.903124.

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ABDELFATTAH, M. Y., and A. R. ABDELAZIZ. "PERFORMANCE STUDY OF A CHOPPER-CONTROLLED INDUCTION MOTOR." Electric Machines & Power Systems 19, no. 1 (January 1991): 81–102. http://dx.doi.org/10.1080/07313569108909505.

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Somwanshi, Devendra, and Arvind Kumar. "Neural Network Based Monitoring, Protection & Fault Detection of Induction Motor Using PLC." International Journal of Engineering & Technology 7, no. 2.24 (April 25, 2018): 140. http://dx.doi.org/10.14419/ijet.v7i2.24.12019.

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Induction motors used mostly in industrial, commercial applications & are seldom denominated power horse of industry. To reduce the motor starting current soft starter requirement is increasing day by day & to maintain the torque proportionally with the load requirement. Now intelligent soft starters evolved to improve the motor starting. This work is comprised of development of an Artificial Neural Network control regime for closed loop of induction motor. The same has been achieved using a standard 0.75 KW three phase induction motor using Matlab, PLC, SCADA & DRIVE. The Artificial Neural Network scheme is compared with traditional Proportional control regime. We have observed that the performance of ANN Induction Motor control Algorithm has been 14-21 % better than only Proportional Motor Control algorithm.

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Vasudevan, M., R. Arumugam, and S. Paramasivam. "High-performance adaptive intelligent Direct Torque Control schemes for induction motor drives." Serbian Journal of Electrical Engineering 2, no. 1 (2005): 93–116. http://dx.doi.org/10.2298/sjee0501093v.

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This paper presents a detailed comparison between viable adaptive intelligent torque control strategies of induction motor, emphasizing advantages and disadvantages. The scope of this paper is to choose an adaptive intelligent controller for induction motor drive proposed for high performance applications. Induction motors are characterized by complex, highly non-linear, time varying dynamics, inaccessibility of some states and output for measurements and hence can be considered as a challenging engineering problem. The advent of torque and flux control techniques have partially solved induction motor control problems, because they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. Intelligent controllers are considered as potential candidates for such an application. In this paper, the performance of the various sensor less intelligent Direct Torque Control (DTC) techniques of Induction motor such as neural network, fuzzy and genetic algorithm based torque controllers are evaluated. Adaptive intelligent techniques are applied to achieve high performance decoupled flux and torque control. This paper contributes: i) Development of Neural network algorithm for state selection in DTC; ii) Development of new algorithm for state selection using Genetic algorithm principle; and iii) Development of Fuzzy based DTC. Simulations have been performed using the trained state selector neural network instead of conventional DTC and Fuzzy controller instead of conventional DTC controller. The results show agreement with those of the conventional DTC.

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Elbarbary, Zakaria, Mohammad Fazle Azeem, and Haitham Z. Azazi. "Adaptive Fuzzy-Based IRFOC of Speed Sensorless Six-Phase Induction Motor Drive System." Journal of Circuits, Systems and Computers 29, no. 04 (July 5, 2019): 2050062. http://dx.doi.org/10.1142/s0218126620500620.

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In recent times, instead of three-phase induction motors (IM), multi-phase motors have been used in several applications, due to numerous advantages that they offer. Elimination of mechanical position or speed sensors allures for adjustable speed drives of IM. It leads to cost reduction, lesser maintenance and increased reliability of the motor drive. To eliminate the speed sensor, the rotor speed is estimated from measured stator currents and voltages at motor terminals. This paper proposes a scheme based on speed estimation method using Model Reference Adaptive System (MRAS) in conjunction with Adaptive Fuzzy Knowledge Based Controller (AFKBC) to improve the performance of a sensorless Indirect Rotor Field Oriented Control (IRFOC) of six-phase IM drive. AFKBC allows to operate at various operating conditions. A fitness function is defined for Queen Bee-based Genetic Algorithm (QBGA) to tune the scaling factor of AFKBC which improves the transient and steady state performances. The performance of the proposed scheme is evaluated by simulation on Matlab/Simulink package. The results of the proposed scheme are compared with conventional PI-based speed controller of the drive system. The proposed controller scheme improves the performance of the drive system at various operating conditions. The estimated speed algorithm gives good correlation between estimated and actual motor speed. The simulation results also illustrate that proposed scheme is robust and suitable for high performances six-phase IM drive.

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DJALAL, MUHAMMAD RUSWANDI, KOKO HUTORO, and ANDI IMRAN. "Kontrol Kecepatan Motor Induksi menggunakan Algoritma Backpropagation Neural Network." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 5, no. 2 (February 16, 2018): 138. http://dx.doi.org/10.26760/elkomika.v5i2.138.

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ABSTRAKBanyak strategi kontrol berbasis kecerdasan buatan telah diusulkan dalam penelitian seperti Fuzzy Logic dan Artificial Neural Network (ANN). Tujuan dari penelitian ini adalah untuk mendesain sebuah kontrol agar kecepatan motor induksi dapat diatur sesuai kebutuhan serta membandingkan kinerja motor induksi tanpa kontrol dan dengan kontrol. Dalam penelitian ini diusulkan sebuah metode artificial neural network untuk mengontrol kecepatan motor induksi tiga fasa. Kecepatan referensi motor diatur pada kecepatan 140 rad/s, 150 rad/s, dan 130 rad/s. Perubahan kecepatan diatur pada setiap interval 0.3 detik dan waktu simulasi maksimum adalah 0,9 detik. Kasus 1 tanpa kontrol, menunjukkan respon torka dan kecepatan dari motor induksi tiga fasa tanpa kontrol. Meskipun kecepatan motor induksi tiga fasa diatur berubah pada setiap 0,3 detik tidak akan mempengaruhi torka. Selain itu, motor induksi tiga fasa tanpa kontrol memiliki kinerja yang buruk dikarenakan kecepatan motor induksi tidak dapat diatur sesuai dengan kebutuhan. Kasus 2 dengan control backpropagation neural network, meskipun kecepatan motor induksi tiga fasa berubah pada setiap 0.3 detik tidak akan mempengaruhi torsi. Selain itu, kontrol backpropagation neural network memiliki kinerja yang baik dikarenakan kecepatan motor induksi dapat diatur sesuai dengan kebutuhan.Kata kunci: Backpropagation Neural Network (BPNN), NN Training, NN Testing, Motor.ABSTRACTMany artificial intelligence-based control strategies have been proposed in research such as Fuzzy Logic and Artificial Neural Network (ANN). The purpose of this research was design a control for the induction motor speed that could be adjusted as needed and compare the performance of induction motor without control and with control. In this research, it was proposed an artificial neural network method to control the speed of three-phase induction motors. The reference speed of motor was set at the rate of 140 rad / s, 150 rad / s, and 130 rad / s. The speed change was set at every 0.3 second interval and the maximum simulation time was 0.9 seconds. Case 1, without control, shows the torque response and velocity of three-phase induction motor without control. Although the speed of three phase induction motor was set to change at every 0.3 seconds, it would not affect the torque. The uncontrolled three-phase induction motors had poor performance due to induction motor speeds could not be adjusted as needed. Case 2 with backpropagation neural network control, although the speed of three phase induction motor changing at every 0.3 seconds would not affect the torque. In addition, the backpropagation neural network control had a good performance because the speed of induction motor could be adjusted as needed.Keywords: Backpropagation Neural Network (BPNN), NN Training, NN Testing, Motor

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Islam, Md Rashedul, Md Maruful Islam, Md Kamal Hossain, and Pintu Kumar Sadhu. "Performance Analysis of a DTC and SVM Based Field-Orientation Control Induction Motor Drive." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 3 (February 1, 2015): 336. http://dx.doi.org/10.11591/ijpeds.v5.i3.pp336-343.

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This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.

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Soliman, Hamdy Mohamed. "Performance Characteristics of Induction Motor with Field Oriented Control Compared to Direct Torque Control." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 4 (December 1, 2016): 1125. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1125-1133.

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With development of power electronics and control Theories, the AC motor control becomes easier. So the AC motors are used instead of the DC motor in the drive applications. With this development, a several methods of control are invented. The field oriented control and direct torque control are from the best methods to control the drive systems. This paper is compared between the field oriented control and direct torque control to show the advantages and disadvantages of these methods of controls. This study discussed the effects of these methods of control on the total harmonic distortion of the current and torque ripples. This occurs through study the performance characteristics of the AC motor. The motor used in this study is an induction motor. This study is simulated through the MATLAB program.

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Zare Bazghaleh, Amir, Mohammad Reza Naghashan, and Mohammad Reza Meshkatoddini. "Optimum Design of Single-Sided Linear Induction Motors for Improved Motor Performance." IEEE Transactions on Magnetics 46, no. 11 (November 2010): 3939–47. http://dx.doi.org/10.1109/tmag.2010.2062528.

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Palka, Ryszard, and Konrad Woronowicz. "Linear Induction Motors in Transportation Systems." Energies 14, no. 9 (April 29, 2021): 2549. http://dx.doi.org/10.3390/en14092549.

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This paper provides an overview of the Linear Transportation System (LTS) and focuses on the application of a Linear Induction Motor (LIM) as a major constituent of LTS propulsion. Due to their physical characteristics, linear induction motors introduce many physical phenomena and design constraints that do not occur in the application of the rotary motor equivalent. The efficiency of the LIM is lower than that of the equivalent rotary machine, but, when the motors are compared as integrated constituents of the broader transportation system, the rotary motor’s efficiency advantage diminishes entirely. Against this background, several solutions to the problems still existing in the application of traction linear induction motors are presented based on the scientific research of the authors. Thus, solutions to the following problems are presented here: (a) development of new analytical solutions and finite element methods for LIM evaluation; (b) comparison between the analytical and numerical results, performed with commercial and self-developed software, showing an exceptionally good agreement; (c) self-developed LIM adaptive control methods; (d) LIM performance under voltage supply (non-symmetrical phase current values); (e) method for the power loss evaluation in the LIM reaction rail and the temperature rise prediction method of a traction LIM; and (f) discussion of the performance of the superconducting LIM. The addressed research topics have been chosen for their practical impact on the advancement of a LIM as the preferred urban transport propulsion motor.

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Popa, Dan-Cristian, Nicolae-Florin Jurca, Razvan Alexandru Inte, Nicholas Hrusch, Jeff Hemphill, and Codrin G. Cantemir. "Zero-Airgap Induction Motor Used to Drive a Transmission Oil Pump." Energies 13, no. 17 (August 19, 2020): 4286. http://dx.doi.org/10.3390/en13174286.

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In this paper, we propose a novel study concerning the future use of a zero-airgap induction motor in applications related to transmission oil pumps. The name of the machine comes from the fact that the rotor touches the stator as it spins. The use of such an eccentric motor provides the possibility to remove the mechanical part that is typically found in the transmission oil pump, increasing its efficiency in this way. We focused on determining the optimum variant of a zero-airgap small power induction motor from the point of view of the electrical and mechanical performance. As such, 18 topologies of induction motors with various numbers of pole pairs and rotor bars were designed and numerically analyzed. For the best variant from each category, different eccentricities were considered to evaluate this effect over the performances of the motors. For the best candidate, various analyses were performed in order to demonstrate the validity of this solution for the proposed application. Elements regarding the thermal analysis of this structure are also presented here.

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Riyaz, Ahmed, Pradip Kumar Sadhu, Atif Iqbal, and Md Abdullah Ansari. "Performance analysis of packed U-cell based inverter-fed five-phase induction motor drive using SINPWM technique." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (December 1, 2020): 1899. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp1899-1907.

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Induction motor is the backbone of current industrial applications. Multiphase machines can handle high power application easily. With the use of five-phase induction motor, advantage of both multi-phase and induction motor can be achieved. This paper presents analysis of five-phase seven level-based Induction motor system fed by packed U-cell based inverter. Modelling of five-phase induction motor is done with the help of mathematical equations using d-q axis transformation. Inverter voltage output comes to be approximately sinusoidal with 18.07% Total Harmonic Distortion (THD). Induction motor with specified parameters is simulated under no-load condition and attains steady state conditions after transient state.

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Han, Sang-Soo. "Motor Parameter Measurement for High Performance Vector Control of an induction Motor." Journal of the Institute of Electronics and Information Engineers 52, no. 8 (August 25, 2015): 126–31. http://dx.doi.org/10.5573/ieie.2015.52.8.126.

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Yetgin, Asım Gökhan. "Effects of induction motor end ring faults on motor performance. Experimental results." Engineering Failure Analysis 96 (February 2019): 374–83. http://dx.doi.org/10.1016/j.engfailanal.2018.10.019.

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S, Durairaj, Y. Robinson, and M. Muthuramalingam. "COMPARATIVE AND PERFORMANCE ANALYSIS OF INDUCTION MOTOR WITH ANN CONTROLLER." JOURNAL OF ADVANCES IN CHEMISTRY 12, no. 9 (November 15, 2016): 4371–81. http://dx.doi.org/10.24297/jac.v12i9.4196.

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A novel design of an adaptive artificial neural network technique (ANN) for controlling of the essential parameters, like as speed, torque, flux, voltage, current, and power etc of the induction motor is presented in this paper. Induction motors are characterized by way of incredibly non-linear, complicated and time-various dynamics and inaccessibility of its states and outputs for measurements. Thus it can be considered as a challenging engineering difficulty in the industrial sector. A few of them, such as PI, fuzzy strategies, Fuzzy logic based controllers are regarded as capability candidates for such application for operating induction motor. Hence of which, the outcome of the controller is also random and high-rated results are probably not obtained. Resolution of the proper rule base application upon the drawback can be achieved by the use of an ANN controller, which becomes a built-in system of method for the manipulate purposes and yields results, which is the focus of this paper. Within the designed ANN scheme, neural community tactics are used to prefer an appropriate rule base, which is utilizing the back propagation algorithm. The simulation outcome provided on this paper is exhibit the effectiveness of the developed approach, which has acquired faster response time or settling times. Additionally, the procedure developed has got a huge number of benefits within the industrial sector will also be converted into a real time application making use of some interfacing cards.

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Khelif, Amine Mohamed, Azeddine Bendiabdellah, and Bilal Djamal Eddine Cherif. "Short-circuit fault diagnosis of the DC-Link capacitor and its impact on an electrical drive system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (June 1, 2020): 2807. http://dx.doi.org/10.11591/ijece.v10i3.pp2807-2814.

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The reliability of a motor control based on a variable speed drive is an important issue for industrial applications. Most of these machines are inverter based induction motors and are used in specific and complex industrial installations. Unlike the induction motor, the feeding part is very delicate and sensitive to faults. In order to improve system performance, it is therefore very important for a researcher to know the impact of a fault on the whole of his drive system. This paper discusses the short-circuit fault of the DC-link capacitor of an inverter fed induction motor. The simulation results of this type of faults are presented and its impact on the behavior of the rectifier, the inverter as well as the induction motor analyzed and interpreted.

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Fauzi, Rizana, and Jumaddil Khair. "Pemodelan Direct Quadrate (D-Q) Pada Kendali Kecepatan Motor Induksi Tiga Phasa dengan Field Oriented Control (FOC) Berbasis Kendali P-I." ScientiCO : Computer Science and Informatics Journal 1, no. 2 (March 7, 2019): 25. http://dx.doi.org/10.22487/j26204118.2018.v1.i2.12059.

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The utilization of a 3 phase induction motor is increasingly developing, so research on speed regulation in 3 phase induction motors is also increasingly widely studied. This is because the use of 3 phase induction motors in the industry and especially hybrid vehicles are increasingly being developed. But there are some disadvantages of induction motors, one of which is the characteristics of non-linear parameters, especially rotor resistance which has varying values for different operating conditions, so it cannot maintain its speed constantly if there is a change in load. This, of course, can affect the performance of an induction motor. To get a constant speed and better system performance on load changes a controller is needed. This study aims to model direct-quadrate parameters (D-Q) using the Field Oriented Control (FOC) method based on the Proportional-Integral (PI) controller. With the d-q parameter controlled, the induction motor will be more stable, because the d-q parameter determines the stability of the change in torque and flux in the induction motor. Proportional-Integral (PI) control used is a classic control system that is easy because it does not need to look for a mathematical model of the system, but it remains effective because it has a fairly stable system response, by setting the best combination of proportional (Kp) constants and Integrator constants ( Ki). In the results of the implementation, it can be seen that the use of FOC can be used as an approach in terms of setting the speed of the induction motor, and with the use of the PI control can help the output response get better with a shorter response time to reach the reference value.

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Hardi, Surya, Ismail Daut, Ismail Rohana, and Muhd Hafizi. "Sensitivity of Induction Motor under Symmetrical Voltage Sags and Interruption." Advanced Materials Research 875-877 (February 2014): 1923–28. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1923.

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Voltage sags and interruption are one of most important of power quality problems. They can influence performance of equipment such as induction motors. They are generally caused by short circuit faults in transmission and distribution systems which propagate in entire of power systems. When their appear at a motor terminal, its effects are the speed and the torque will decrease to a level lower than values of the normal and even the motor become stall if magnitude of the voltage sags and duration exceed certain limit. The voltage can return to nominal voltage after end of the voltage sag and interruption. The motor will experience re-acceleration to normal condition is accompanied by large inrush current. A study on induction motors was carried out to confirm these effects. Single-phase and three-phase of small induction motors were used for investigating the effects caused by symmetrical voltage sags and interruption through experimental and simulation.

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Wang, Tao, Jikun Li, Yuwen Liu, and Xuehai Wang. "The weighted synergetic speed control for single inverter, parallel-connected induction motor drive." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 2 (May 23, 2019): 257–71. http://dx.doi.org/10.1177/0959651819850448.

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In the case of unbalanced load performance, the key issue in speed control of a single inverter-powered parallel motor coupling system is how to overcome the difference in motor parameters and the effect of slip between the induction motors to maintain the same speed. Based on the synergetic control theory and synergy manifold design techniques, the model which is field-oriented vector control with reduced order induction is proposed, as well as a synergetic control strategy. Moreover, the accuracy of the rotor flux observation is one of the most important steps in the motor control. In order to improve the convergence speed of rotor flux error, a new flux observer based on the sliding mode theory is proposed. Introducing the Sig function instead of the symbol function, the sliding mode control technology is improved to observe rotor to eliminate the control chattering. Then, two motor speed coupling weighted synergetic control models are given by using the new weight vector of the parallel induction motor. These models can directly obtain the stator excitation current and torque current of the two motors. The simulation and experimental results show that the newly proposed motor synergetic control method has better steady operation performance, overcomes the shortcomings of the existing average vector control method in load imbalance and motor parameter difference and proves the validity and advancement of the design strategy.

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Gyftakis, Konstantinos N., and Joya Kappatou. "The Impact of the Rotor Slot Number on the Behaviour of the Induction Motor." Advances in Power Electronics 2013 (February 19, 2013): 1–9. http://dx.doi.org/10.1155/2013/837010.

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The impact of the rotor slot number selection on the induction motors is investigated. Firstly, analytical equations will reveal the spatial harmonic index of the air gap magnetic flux density, connected to the geometrical features and the saturation of the induction motor. Then, six motors with different rotor slot numbers are simulated and studied with FEM. The stator is identical in all motors. The motors are examined under time-harmonic analysis at starting and at 1440 rpm. Their electromagnetic characteristics, such as electromagnetic torque, stator current, and magnetic flux density, are extracted and compared to each other. The analysis will reveal that the proper rotor slot number selection has a strong impact on the induction motor performance.

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Tornello, Luigi Danilo, Salvatore Foti, Mario Cacciato, Antonio Testa, Giacomo Scelba, Salvatore De Caro, Giuseppe Scarcella, and Santi Agatino Rizzo. "Performance Improvement of Grid-Connected Induction Motors through an Auxiliary Winding Set." Energies 14, no. 8 (April 13, 2021): 2178. http://dx.doi.org/10.3390/en14082178.

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A technique to improve the performance of grid-connected induction motors by exploiting an auxiliary winding set is proposed in this paper. This auxiliary winding features the same distribution of the main winding, although with a reduced number of turns and it is fed by an inverter a fraction of the power in comparison with the rated size of the induction motor. As shown in the paper, through the auxiliary winding, it is possible to set the machine power factor, increasing the efficiency of the power conversion system and mitigating speed oscillations due to torque disturbances. A mitigation of the grid current peaks due to motor start-up is obtainable. First, the proposed technique is theoretically introduced, then a feasibility assessment is accomplished by simulations.

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Kim, Kyusung, and Alexander G. Parlos. "Reducing the Impact of False Alarms in Induction Motor Fault Diagnosis." Journal of Dynamic Systems, Measurement, and Control 125, no. 1 (March 1, 2003): 80–95. http://dx.doi.org/10.1115/1.1543550.

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Early detection and diagnosis of incipient faults is desirable for on-line condition assessment, product quality assurance, and improved operational efficiency of induction motors. At the same time, reducing the probability of false alarms increases the confidence of equipment owners in this new technology. In this paper, a model-based fault diagnosis system recently proposed by the authors for induction motors is experimentally compared for fault detection and false alarm performance with a more traditional signal-based motor fault estimator. In addition to the nameplate information required for the initial set-up, the proposed model-based fault diagnosis system uses measured motor terminal currents and voltages, and motor speed. The motor model embedded in the diagnosis system is empirically obtained using dynamic recurrent neural networks, and the resulting residuals are processed using wavelet packet decomposition. The effectiveness of the model-based diagnosis system in detecting the most widely encountered motor electrical and mechanical faults, while minimizing the impact of false alarms resulting from power supply and load variations, is demonstrated through extensive testing with staged motor faults. The model-based fault diagnosis system is scalable to motors of different power ratings and it has been successfully tested with fault data from 2.2kW,373kW, and 597kW induction motors.

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Cao, Wenping, Abid Ali Shah Bukhari, and Lassi Aarniovuori. "Review of Electrical Motor Drives for Electric Vehicle Applications." July 2019 38, no. 3 (July 1, 2019): 525–40. http://dx.doi.org/10.22581/muet1982.1903.01.

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EVs (Electric Vehicles) have been rejuvenated over the last decades while the motor drive technologies are still evolving. This paper provides a review of electrical motor drive technologies used in EV applications, with a performance comparison of candidate machines and their drive topologies. EV applications demand high efficiency, high torque density, high reliability, and wide speed range while reducing weight, complexity, total costs and environmental impact. In the literature, DC (Direct Current) motors, IMs (Induction Motors) and PM (Permanent Magnet) motors can be generally found in marketplace whilst RMs (Reluctance Motors) have been researched for some time and are nearing commercial availability. This paper evaluates the performance of these four main types of electrical motor drives for EV propulsion applications using analytical methods. PM motors may offer the best performance in terms of torque density and compactness but the cost is the highest (primarily dominated by rare-earth permanent magnets), limiting their widespread application in mass production EVs. DC motors have their own merits but suffer from limited power density and necessity for maintenance. Induction motor drives are a mature and proven technology. In particular, squirrel-cage IMs are robust, reliable and inexpensive, striking a balance between system cost and complexity, power density and extended speed range. Reluctance motors can provide a good torque density and cost effective EV drive solutions. Their drawbacks can also be overcome by the use of power electronic converters and advanced control strategies. Induction and reluctance motor drives are well suited for cost sensitive mass production EV applications. Looking to the future, increased hybridization may be a way forward in industry which combines attractive features of different electrical machines and control algorithms and still offer much promise in performance and total cost. At last, reliability study on EVs requires historical information and driving patterns, demanding research expertise in eco-sociology, human behaviors as well as human-machine interface.

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Rohit Kumar and Dr. B. Amarendra Reddy. "ANFIS Based DTC SVPWM Controller for Induction Motor." November 2020 6, no. 11 (November 22, 2020): 6–11. http://dx.doi.org/10.46501/ijmtst061102.

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This paper presents three PWM techniques, space vector PWM (SVPWM). SVPWM gives the more rms stator flux ripples in induction motor at 0.76 modulation indices, which gives more ripples in current and torque distortion. The flux performance of the induction motor is improved using three PWM (TPWM) due to twin switching transition with less area of rms stator flux ripple. The PI-control (PIC) doesn’t give the good dynamic performance of the induction motor drive using two level Voltage Source Inverter due to sudden changes in the load or speed. Further to improve dynamic performance in the torque and Flux of induction motor drive is simulated using type-2 fuzzy logic control (TP2FLC) and ANN in place of PIC because; TP2FLC and ANN is effectively dealing with uncertainties, and simulation results of speed, torque, flux and stator current of induction motor is compare with PIC of SVPWM and TPWM.

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Betka, A., and A. Moussi. "Performance optimization of a photovoltaic induction motor pumping system." Renewable Energy 29, no. 14 (November 2004): 2167–81. http://dx.doi.org/10.1016/j.renene.2004.03.016.

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Liu, Tian-Hua, Ming-Tsan Lin, and Hann-Chung Wu. "A single phase induction motor drive with improved performance." Electric Power Systems Research 47, no. 1 (October 1998): 29–38. http://dx.doi.org/10.1016/s0378-7796(98)00036-4.

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Brauer, J., H. Sadeghi, and R. Oesterlei. "Polyphase induction motor performance computed directly by finite elements." IEEE Transactions on Energy Conversion 14, no. 3 (1999): 583–88. http://dx.doi.org/10.1109/60.790918.

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Mendrela, E., and E. Gierczak. "Influence of primary twist on linear induction motor performance." IEEE Transactions on Magnetics 21, no. 6 (November 1985): 2664–71. http://dx.doi.org/10.1109/tmag.1985.1064187.

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Mohanasundaram, K., Dr K. Sathiyasekar, and Dr N. Rajasekar. "Neuro-fuzzy Controller for High Performance Induction Motor Drives." International Journal of Computer Applications 38, no. 10 (January 28, 2012): 12–16. http://dx.doi.org/10.5120/4643-6899.

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Journal articles on the topic 'Induction motor performance'

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