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Journal articles on the topic 'Motor controllers'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Ab Rahman, Nur Naajihah, Nafrizuan Mat Yahya, and Nurul Umiza Mohd Sabari. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98. http://dx.doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzzy Simulink toolbox. Real

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V N, Dr Trupti. "BLDC Motor Speed Control with PID Controller in Electric Vehicles." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35332.

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This paper demonstrates that BLDC motors are the best motors for various electric vehicle control strategies. Synchronous motors are the group that includes BLDC motors. Future transportation is interested in electric vehicles because of their zero emissions, sustainability, efficiency, and variety of control methods. These motors are the best option for many applications; however, the majority of them need sensor-less control. Rotor-position sensing is necessary for BLDC motors operating in order to regulate the winding currents. A BLDC motor drive's speed can be controlled via sensor-less co

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3

Nur, Naajihah Ab Rahman, Mat Yahya Nafrizuan, and Umiza Mohd Sabari Nurul. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98–107. https://doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzz

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4

Younus, Shukri Mahmood Younus, Uğurhan Kutbay, Javad Rahebi, and Fırat Hardalaç. "Hybrid Gray Wolf Optimization–Proportional Integral Based Speed Controllers for Brush-Less DC Motor." Energies 16, no. 4 (2023): 1640. http://dx.doi.org/10.3390/en16041640.

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For Brush-less DC motors to function better under various operating settings, such as constant load situations, variable loading situations, and variable set speed situations, speed controller design is essential. Conventional controllers including proportional integral controllers, frequently fall short of efficiency expectations and this is mostly because the characteristics of a Brush-less DC motor drive exhibit non linearity. This work proposes a hybrid gray wolf optimization and proportional integral controller for management of the speed in Brush-less DC motors to address this issue. For

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M. Venkatesh and G. Raja Rao. "Speed Control of DC Motor Using Intelligent Controllers." November 2020 6, no. 11 (2020): 157–64. http://dx.doi.org/10.46501/ijmtst061130.

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DC Motors are broadly utilized in mechanical applications, home appliances and robot controllers on account of their high unwavering quality, adaptability and low cost, where speed and position control of motor are required. The activity of a DC motor is performed by conventional controllers and intelligent controllers in MATLAB environment. The speed control of a dc motor utilizing conventional controllers (PID, IMC) and intelligent controllers (FLC, ANFIS) in view of MATLAB simulation program. A numerical model of the process has been created utilizing genuine plant information and afterward

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Irhamni, Irfan, Riries Rulaningtyas, and Riky Tri Yunardi. "PID-Based Design of DC Motor Speed Control." Indonesian Applied Physics Letters 2, no. 1 (2021): 7. http://dx.doi.org/10.20473/iapl.v2i1.28297.

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DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the r

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7

Vinay Kumar, C. H., G. Madhusudhana Rao, A. Raghu Ram, and Y. Prasanna Kumar. "Designing of Neuro-Fuzzy Controllers for Brushless DC Motor Drives Operating with Multiswitch Three-Phase Topology." Journal of Electrical and Computer Engineering 2022 (July 20, 2022): 1–12. http://dx.doi.org/10.1155/2022/7001448.

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Brushless DC motors are simple in construction, high efficiency, less noise, and high reliability, which are not replaceable motors in specific applications compared to other motor drives. It has a facility for its multivariable system, nonlinear control process, and powerful coupling system. This paper proposes to design the neuro-fuzzy controllers for its multiple converters switching to improve the power factor and minimize the BLDC motor switching losses. Compared with conventional controllers, this controller will develop the power factor and optimize the current ripples concerning time a

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Imran, Omar A., Wisam Najm al-din Abed, and Ali N. Jbarah. "Speed control of universal motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (2019): 41. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp41-47.

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Universal Motors (UM) are normally used for driving portable apparatus such as hand tool machines, vacuum cleaners and most domestic apparatus. The importance of UM is due to its own advantages such as high starting torque, very powerful in relation to its small size, having a variable speed; and lower cost. So, this paper focus on UM speed control under variable loading conditions. A mathematical model for UM is designed. Two controllers are proposed for controlling the motor speed, output rate controller and output reset controller. Ant Colony Optimization (ACO) is proposed for tuning the co

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Chaitanya Kumar Reddy, Kamatam Muni Naga, and Nallathambi Kanagasabai. "Investigations of BLDC motor speed characteristics via THD under conventional and advanced hybrid controllers." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 2 (2024): 729. http://dx.doi.org/10.11591/ijeecs.v35.i2.pp729-742.

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This project investigates brushless direct current (BLDC) motor speed control through total harmonic distortion (THD) analysis, employing proportional integral (PI), fuzzy logic (FLC), adaptive neuro-fuzzy inference system (ANFIS), and an innovative hybrid ANFIS-PD/PI controller. Considering the vital role of BLDC motors in precision-dependent industries like robotics, electric vehicles, and industrial automation, our primary focus is on understanding BLDC motor operation and recognizing THD's significance as a performance metric. Controllers are meticulously implemented in real-time, fine-tun

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Kamatam, Muni Naga Chaitanya Kumar Reddy Nallathambi Kanagasabai. "Investigations of BLDC motor speed characteristics via THD under conventional and advanced hybrid controllers." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 2 (2024): 729–42. https://doi.org/10.11591/ijeecs.v35.i2.pp729-742.

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This project investigates brushless direct current (BLDC) motor speed control through total harmonic distortion (THD) analysis, employing proportional integral (PI), fuzzy logic (FLC), adaptive neuro-fuzzy inference system (ANFIS), and an innovative hybrid ANFIS-PD/PI controller. Considering the vital role of BLDC motors in precision-dependent industries like robotics, electric vehicles, and industrial automation, our primary focus is on understanding BLDC motor operation and recognizing THD's significance as a performance metric. Controllers are meticulously implemented in real-time, fine-tun

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11

Ketan Kalke and Dr. Bhumeshwar Patle. "Study on Application of AI Controllers for Speed Control of Motors." ARAI Journal of Mobility Technology 3, no. 3 (2023): 635–46. http://dx.doi.org/10.37285/ajmt.3.3.1.

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Building high-performance motor drives is vital for industrial uses. A high-performance motor drive system must be quick in terms of dynamic speed order monitoring and load regulation. The motor controllers can provide system protection by regulating or limiting torque, protecting against overloads, and safeguarding against mistakes. Many motor controllers include logic for managing applications as well as additional features like data recording and data collecting. The purpose is to study various tuning techniques for motor speed controllers using Artificial intelligence. The controllers such

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Raheem, Raghda S., Mohammed Y. Hassan, and Saleem K. Kadhim. "Simulation Design of Blood-pump Intelligent Controller Based on PID-like fuzzy logic Technique." Engineering and Technology Journal 38, no. 8A (2020): 1200–1213. http://dx.doi.org/10.30684/etj.v38i8a.534.

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This paper presents a blood pump with a bearingless brushless DC motor, supported by speed, torque, and suspension force controllers. Simulation of the pump motor and its controllers tested by MATLAB/Simulink. Two Proportional plus Integral (PI) controllers are employed for controlling the rotational speed and torque of the motor. For controlling the suspension force a comparative study is presented between the Proportional plus Integral plus Derivative (PID) controller and two inputs PID-like Fuzzy Logic Controller (FLC). A particle swarm optimization technique is used to find the best values

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13

Wong, Kah Kit, Choon Lih Hoo, and Mohd Hardie Hidayat Mohyi. "Anti-windup PI controller, SIPIC For Motor Position Control." MATEC Web of Conferences 152 (2018): 02022. http://dx.doi.org/10.1051/matecconf/201815202022.

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Control system plays a major role in the industry nowadays as it simplifies workload and reduce manpower. Among all the controlled applicable field, control system is heavily used in motor speed and motor position controls. Although there are various types of controllers available in the market, PID controller remains as one of the most used controller due to its simplicity. Unfortunately, PID controller experiences windup phenomenon which affects the controller’s performance. This paper proposes a new type of anti-windup PI controller, SIPIC for motor position control application and aims to

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14

Singh, Nagendra, Akhilesh Kumar Sharma, Manish Tiwari, et al. "Robust Control of SEDCM by Fuzzy-PSO." Electronics 12, no. 2 (2023): 335. http://dx.doi.org/10.3390/electronics12020335.

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Industries have many rotational operations that are used for design, transport, lift, drilling, rolling, robotics, and many other applications. These rotating applications require a proper controller for accurate control of the operation. Separately excited DC motors (SEDCMs) are versatile and have various industrial operations because of their specific speed control characteristics. So, for smooth and accurate operation of an SEDC motor, controllers should be used. PI and PID controllers are used in many cases, but they are ineffective for nonlinear load operation. A fuzzy controller is a heu

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15

Abdelfattah, Hany. "Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor." International Journal of Energy 15 (July 21, 2021): 63–72. http://dx.doi.org/10.46300/91010.2021.15.10.

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The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The propotional-integral (PI) and fuzzy system controllers are developed., based on designer’s test and error process and experts. The experimential and hardware resuts for the inverter

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16

Mhawesh, Mustafa A. "Performance comparison between variants PID controllers and unity feedback control system for the response of the angular position of the DC motor." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 802. http://dx.doi.org/10.11591/ijece.v11i1.pp802-814.

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This paper proposed a detailed study for the response of angular position of the rotor of a DC motor. It is a comparative analysis to the behavior of the DC motor when the motor is alone and when it is with controllers. Furthermore, a comparison between the responses of controllers themselves. A conventional PID controller which was tuned by using Ziegler and Nichols method was proposed in this paper. Also, Modification PID controllers were proposed in this paper. The modification PID controllers are PI-D controller and I-PD controller. Mathematical calculations were done to get the transfer f

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Mustafa, A. Mhawesh. "Performance comparison between variants PID controllers and unity feedback control system for the response of the angular position of the DC motor." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 802–14. https://doi.org/10.11591/ijece.v11i1.pp802-814.

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This paper proposed a detailed study for the response of angular position of the rotor of a DC motor. It is a comparative analysis to the behavior of the DC motor when the motor is alone and when it is with controllers. Furthermore, a comparison between the responses of controllers themselves. A conventional PID controller which was tuned by using Ziegler and Nichols method was proposed in this paper. Also, Modification PID controllers were proposed in this paper. The modification PID controllers are PI-D controller and I-PD controller. Mathematical calculations were done to get the transfer f

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18

Sathishkumar, H. "Performance Analysis of Speed Controller for 3hp and 150hp Three Phase Induction Motors Being Used in Cable Industry Applications." Asian Journal of Electrical Sciences 8, no. 1 (2019): 7–14. http://dx.doi.org/10.51983/ajes-2019.8.1.2339.

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In this paper, Performance analysis of speed controller for 3hp and 150hp three phase induction motors being used in cable industry applications is carried out. For this purpose, cable manufacturing industry (Ravicab Cables Private Limited) at Bidadi, Ramanagara district is taken into study. A 3hp 3Φ induction motor is used to pull the single core cable which comes out of diameter controller. Similarly, a 150hp 3Φ induction motor is used to pull the four single core cable to form a four core cable. Therefore, as far as this cable industry is concerned, these motors speed control is essential.

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19

Raheem Rashed, Jabbar. "Simulation of Speed Control for Separately Excited DC Motor Utilizing Fuzzy Logic Controller." University of Thi-Qar Journal for Engineering Sciences 10, no. 1 (2019): 141–46. http://dx.doi.org/10.31663/tqujes.10.1.338(2019).

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DC motors are considered the most common and widely used, typically of adaptable speed drive operation. There are many researches, DC motor controllers have been implemented but most of them have not reached satisfactory results compared with the use of intelligent systems. Different simulations are performed using the PID and FLC controller for different conditions namely various motor plants having readily changed parameter in order test the robustness of the system , Also three types of input ,i.e. step, ramp, and train of pulses are employed result ,obtained .medicated that the prospered F

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20

Fajaffri, Mohamad Harith Hilmi, and Nafrizuan Mat Yahya. "Comparison Performances between MABSA-PI Controller and MABSA-PD Controller for DC Motor Position System." MEKATRONIKA 5, no. 1 (2023): 72–78. http://dx.doi.org/10.15282/mekatronika.v5i1.9414.

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The goal of this project is to create two different types of controllers for regulating DC motor position systems which are the MABSA-PI controller and the MABSA-PD controller. The MATLAB controllers are developed using the Simulink toolbox, while the transfer function of a DC motor is obtained from its circuit. Modified adaptive bats sonar algorithm (MABSA) will be implemented in the PI controller and PD controller as the main algorithm. MABSA is one of the swarm intelligences and is usually for an optimization problem. Next, the tuning method for the PI controller and PD controller will be t

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Faiz Ali, Fadya, and Fatma Milad Matoog. "A comparative study between PI, PD and PID controllers to control motor speed." مجلة العلوم والدراسات الإنسانية - كلية الآداب والعلوم – المرج, no. 71 (June 5, 2024): 1–10. http://dx.doi.org/10.37376/jsh.vi71.5722.

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DC Motors are widely used in industries for various purposes. Many situations demand changes in the speed of the DC Motor, and this makes necessity to develop a method to effectively control the speed of DC motor. There are conventional and digital controller types, Proportional Integral (PI), Proportional Derivative (PD), and Proportional Integral Derivative (PID) used to control speed of the DC motor. In this project PI, PD and PID is modeling and simulated in MATLAB SIMULINK to control speed of the DC Motor. Aforementioned Controllers analyzed and evaluated on four terms overshoot, rise tim

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22

Waleed, I. Hameed, and A. Mohamad Khearia. "SPEED CONTROL OF SEPARATELY EXCITED DC MOTOR USING FUZZY NEURAL MODEL REFERENCE CONTROLLER." International Journal of Instrumentation and Control Systems (IJICS) 2, no. 4 (2019): 1/13. https://doi.org/10.5121/ijics.2012.2403.

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<strong>ABSTRACT</strong> Conventional controllers are generally used to control the speed of the separately excited DC motors in various industrial applications. It is found to be simple and high effective if the load disturbances is small. So the drawback of Conventional controllers when high load has been applied to the DC motor. This paper presents the speed control of a separately excited dc motor using Fuzzy Neural Model Referance controller. The system has been implemented using Matlab/Simulink software. The simulation results show that presenting controller give good performance and hi

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23

Wadhonakar, Kunal Anant. "Evaluation and Comparative Analysis of Speed Performance of Brushless DC Motor using Digital Controllers." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 144–61. http://dx.doi.org/10.22214/ijraset.2021.38396.

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Abstract: This paper presents modeling, performance evaluation, and comparative analysis of speed performance of brushless DC motor (BLDCM) by using digital controllers. Speed performance analysis is carried out by using time response specifications which are useful for determining the effectiveness of the digital controllers. The wide spread of BLDCM in many areas due to the advantages of BLDCM over the conventional widely used motors such as induction motor and brushed DC motor. Advantages of BLDCM include higher efficiency, lower maintenance, longer life, reduced losses, single excitation,

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Zribi, Mohamed, and Adel Al-Zamel. "Field-Weakening Nonlinear Control of a Separately Excited DC Motor." Mathematical Problems in Engineering 2007 (2007): 1–22. http://dx.doi.org/10.1155/2007/58410.

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This paper investigates the design and implementation of nonlinear control schemes for a separately excited DC motor operating in the field-weakening region. A feedback linearization controller, a Corless-Leitman-type controller, and two nonlinear controllers are designed and implemented for a DC motor system. The stability of the closed-loop system is proved using Lyapunov theory. A hardware testbed is constructed to experimentally verify the designed controllers. The hardware consists of a DC motor system, a DSP controller board, a power module, two current sensors, and a tachogenerator. The

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Nadheer, Abdulridha Shalash, Riyadh Abdul-Adheem Wameedh, and Khaldoon Abdul Jabbar Yasir. "Control of shunt-wound motors with DC/DC converters using the pole placement technique." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (2022): 2335–45. https://doi.org/10.11591/ijece.v12i3.pp2335-2345.

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Many techniques have been developed for the speed manipulation of shunt-wound direct current motors (SWDCMs) established based on armature and field control. The current research proposes a controller based on the pole placement (PP) control technique and compares it with a proportional integral (PI) controller for trajectory speed control of SWDCM with uncertainty. The circuit of the DC/DC converters energizes the DC motor. The responses are analyzed according to the dynamic mathematical model of the implemented controllers and the model of the DC/DC converters. Comparison of the motor dynami

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26

Alkargole, Hazim M., Abbas S. Hassan, and Raoof T. Hussein. "Analyze and Evaluate the Performance Velocity Control in DC Motor." Radioelectronics. Nanosystems. Information Technologies 12, no. 4 (2020): 507–16. http://dx.doi.org/10.17725/rensit.2020.12.507.

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A mathematical model of controlling the DC motor has been applied in this paper. There are many and different types of controllers have been used with purpose of analyzing and evaluating the performance of the of DC motor which are, Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Fuzzy Proportional Derivative (FPD) ,Proportional Integral Derivative (PID), Fuzzy Proportional Derivative with integral (FPD plus I) , and Fuzzy Proportional Integral (FPI) with membership functions of 3*3, 5*5, and 7*7 rule bases. The results show that the (FLC) controller with 5*5 rule base provides

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27

Amarapini Divya and Dr.Prasadarao Bobbili. "Comparison and Speed Control of DC Motor and DC Servomotor Using IMC Based PID Controller." International Journal for Modern Trends in Science and Technology 6, no. 12 (2021): 493–501. http://dx.doi.org/10.46501/ijmtst061295.

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IMC based PID controllers are being used to speed control of DC motor and DC servomotor in industry. As this controller offer good performance comparitive to conventional controllers like PI, PID and Ziegler Nichols frequency method controllers. This paper presents the speed control of the DC motor and DC servomotor using PI, PID, Ziegler Nichols method and IMC-PID controllers, to realize the optimization of control action. A mathematical calculation of DC motor and DC servomotor has developed and simulations are carried out in MATLAB/ Simulink environment. From the results, it is observed tha

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Shalash, Nadheer Abdulridha, Wameedh Riyadh Abdul-Adheem, and Yasir Khaldoon Abdul Jabbar. "Control of shunt-wound motors with DC/DC converters using the pole placement technique." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (2022): 2335. http://dx.doi.org/10.11591/ijece.v12i3.pp2335-2345.

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<p>Many techniques have been developed for the speed manipulation of shunt-wound direct current motors (SWDCMs) established based on armature and field control. The current research proposes a controller based on the pole placement (PP) control technique and compares it with a proportional integral (PI) controller for trajectory speed control of SWDCM with uncertainty. The circuit of the DC/DC converters energizes the DC motor. The responses are analyzed according to the dynamic mathematical model of the implemented controllers and the model of the DC/DC converters. Comparison of the mot

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Muhammad, Khan Kaloi, Ali Ehsan, Mustafa Ghulam, et al. "Fuzzy-PID based control scheme for PMDC series motor speed control." Indian Journal of Science and Technology 13, no. 28 (2020): 2911–23. https://doi.org/10.17485/IJST/v13i28.653.

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Abstract <strong>Abstract Background/Objectives:</strong> PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Since the Fuzzy controlers are more adaptive to non-linearity. This study is to analyse a fuzzy-based speed control scheme for tuning/adusting the performance of PID controller for the purpose of speed control of DC motor under the load condition. <strong>Methods/Statistical Analy

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Bodapati, Rakesh Babu, R. S. Srinivas, and P. V. Ramana Rao. "Artificial Neural Network-Based Hybrid Controller for Electric Vehicle Applications." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 23 (October 31, 2024): 192–201. http://dx.doi.org/10.37394/23201.2024.23.20.

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Power management among different energy sources of electric vehicles (EV) is one of the complex issues during the transition from one to another. A specific control is modeled based on the current and speed range of the electric motor named as Measurement of Parameter-Based Controller (MPBC), which will play a key role during transition of energy sources as per the load requirement. Two bidirectional converters are utilized to control the pulse signals generated by the traditional controllers which are connected at the battery and Supercapacitors (SCap) ends, which are treated as passive sourc

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Sayed, Khairy, Hebatallah H. El-Zohri, Adel Ahmed, and Mohamed Khamies. "Application of Tilt Integral Derivative for Efficient Speed Control and Operation of BLDC Motor Drive for Electric Vehicles." Fractal and Fractional 8, no. 1 (2024): 61. http://dx.doi.org/10.3390/fractalfract8010061.

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This study presents the tilt integral derivative (TID) controller technique for controlling the speed of BLDC motors in order to improve the real-time control of brushless direct current motors in electric vehicles. The TID controller is applied to the considered model to enhance its performance, e.g., torque and speed. This control system manages the torque output, speed, and position of the motor to ensure precise and efficient operation in EV applications. Brushless direct current motors are becoming more and more popular due to their excellent torque, power factor, efficiency, and controll

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K Sebasthirani. "Implementation of AI Tuned PID Controller for Speed and Direction Control of BLDC Motor." Journal of Electrical Systems 20, no. 7s (2024): 2221–28. http://dx.doi.org/10.52783/jes.3957.

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This paper explores BLDC motor control using MATLAB Simulink, focusing on AI tuned PID and fractional PID controllers for closed-loop speed regulation and direction . It involves designing a feedback system comprising sensor feedback, controller, and BLDC motor model. Through iterative tuning, optimal controller parameters are determined for enhanced performance. Simulations were carried out to evaluate response characteristics, stability, and robustness across varying conditions. Experimental validation though hardware-in-the-loop experiments corroborates simulation findings. Performance metr

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Ali, Mousmi, Abbou Ahmed, and El Houm Yassine. "Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1167–77. https://doi.org/10.11591/ijpeds.v10.i3.pp1167-1177.

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This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC motor 3KW. The obtaine

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Zheng, Xue Qin. "Control of Hybrid Stepping Motor Drive Using Computational Verb PID Controllers." Advanced Materials Research 853 (December 2013): 428–34. http://dx.doi.org/10.4028/www.scientific.net/amr.853.428.

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Thanks to the development of microprocessors, hybrid stepping motors have been widely used in many areas where they perform positioning operations. However, the stepping motor suffers from system variations, low performance and lack of adaptability to load variations, which slow down their responding speed of high-precision positioning operations. In this paper, a computational verb PID controller is proposed to control the position of a stepping motor drive. The simulation results show that the computational verb PID controller has better performances than conventional and fuzzy PID controlle

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Trong-Thang, Nguyen. "The linear quadratic regular algorithm-based control system of the direct current motor." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 2 (2019): 768–76. https://doi.org/10.11591/ijpeds.v10.i2.pp768-776.

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This research aims to propose an optimal controller for controlling the speed of the Direct Current (DC) motor. Based This research aims to propose an optimal controller for controlling the speed of the Direct Current (DC) motor. Based on the mathematical equations of DC Motor, the author builds the equations of the state space model and builds the linear quadratic regulator (LQR) controller to minimize the error between the set speed and the response speed of DC motor. The results of the proposed controller are compared with the traditional controllers as the PID, the feed-forward controller.

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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 inducti

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H. Abood, Layla, Bashra Kadhim Oleiwi, and Ekbal Hussain Ali. "Optimal backstepping controller for controlling DC motor speed." Bulletin of Electrical Engineering and Informatics 11, no. 5 (2022): 2564–72. http://dx.doi.org/10.11591/eei.v11i5.3940.

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In this paper, squirrel search algorithm (SSA) is adapted to tune the optimal parameters of a backstepping controller for controlling speed in DC motor; Lyapunov stability theorem is applied to derive the control low to achieve system stability analysis. M-file and Simulink platform is used to simulate the response of the system, a comparison with conventional controllers is utilized, all gains are tuned using SSA method and integral time absolute error (ITAE) fitness function to test the efficient performance of the proposed controller also a comparison with other tuned different controllers

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Yörük, Ahmed Emin, Nuri Alper Metin, and Murat Lüy. "Performance Optimization of PID Controllers for DC Machine Drives Using PSO, ACO, and Hybrid PSO-ACO Algorithms." International Scientific and Vocational Studies Journal 9, no. 1 (2025): 118–29. https://doi.org/10.47897/bilmes.1688286.

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PID controllers are utilised extensively in the domain of electric motors and drives. The values of the PID controller have a direct impact on the controller's characteristics. Establishing optimal values is imperative to enhance the efficacy of control mechanisms. Consequently, a multitude of optimization algorithms have been developed. Employing these algorithms facilitates the optimisation of the controller's optimal values with greater efficiency, requiring less experience and a shorter timeframe. In this study, the parameters of the PID controller employed in the motor drive developed for

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Bucur, C. "Artificial intelligence driven speed controller for DC motor in series." Scientific Bulletin of Naval Academy XIV, no. 2 (2021): 83–88. http://dx.doi.org/10.21279/1454-864x-21-i2-007.

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Recently a lot of work have been done to implement artificial intelligence controllers in the field of electrical motors. This paper presents a novel speed controller, developed through Reinforcement learning techniques, applied to series dc motors. We emphasize the ease of developed controller in available off the shelf hardware for industrial use. We used the open- source Python package gym-electric-motor [1] for environment setup, pytorch framework for developing the controller and .NET for performance evaluation.

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B, Parthiban. "Enhanced Control of BLDC Motor Using FOPID Comparative Analysis and Optimization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46246.

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ABSTRACT This paper explores the design and implementation of a Fractional Order Proportional-Integral Derivative (FOPID) controller for Brushless DC (BLDC) motors, specifically aimed at improving electric vehicle (EV) performance. BLDC motors are known for their efficiency, compact size, and precise control. However, their nonlinear dynamics and sensitivity to load variations present significant challenges for traditional Proportional Integral-Derivative (PID) controllers, which often struggle under dynamic conditions. The proposed FOPID controller incorporates fractional-order parameters, of

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Bagavathy, S., P. Maruthupandi, S. Sheebarani, Radhika ., and Ramya Rani N. "Fuzzy with PID based Sensorless Brushless DC Motor Control." International Journal of Engineering & Technology 7, no. 4.19 (2018): 481–84. http://dx.doi.org/10.14419/ijet.v7i4.19.23205.

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In this Work, the controller with fuzzy and PID used to execute the speed calculation of a brushless dc motor. The proposed strategy is basic and solid. Amid regenerative braking mode, it saves energy in a rechargeable battery. The proposed controller is coordinated utilizing the fuzzy logic toolbox in MATLAB. The work proposes the idea of fuzzy with PID controller for controlling the speed of BLDC motor. The goals of the undertaking are to analyze the execution of PI and the proposed fuzzy with PID controllers utilizing MATLAB software for the controlling the speed of BLDC motor. The executio

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Hashmia, Sh. Dakheel, B. Abdulla Zainab, Jasim Jawad Helen, and Jasim Mohammed Ali. "Comparative analysis of PID and neural network controllers for improving starting torque of wound rotor induction motor." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 6 (2020): 3142~3154. https://doi.org/10.12928/TELKOMNIKA.v18i6.14571.

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Unlike 3-phase squirrel cage induction motor, starting-up of 3-phase wound rotor counterpart can be improved by adding an external resistance to the rotor circuit. Thus, leads to reduce starting current and increase starting torque. In this paper two controllers for 3-phase wound rotor induction motor have been proposed include conventional proportional integral derivative (PID) controller and the other based on artificial neural network (NARMA-L2). A comparison between these controllers has been conducted. It has been shown that starting torque of the motor has been improved, when utilizing t

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Mousmi, Ali, Ahmed Abbou, and Yassine El Houm. "Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1167. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1167-1177.

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<span lang="EN-US">This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC mot

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Suman Kar. "Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics." World Journal of Advanced Research and Reviews 27, no. 1 (2025): 026–33. https://doi.org/10.30574/wjarr.2025.27.1.1951.

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This paper presents the simulation and performance analysis of a self-tuned fuzzy PID-controlled DC motor using MATLAB/Simulink. The proposed controller integrates fuzzy logic with a conventional PID controller to dynamically adjust its parameters, improving the system’s adaptability to varying operating conditions. The simulation model is developed in Simulink, and the speed-time characteristics of the DC motor are analyzed to evaluate the controller’s performance. Key performance metrics such as rise time, settling time, overshoot, and steady-state error are compared with conventional PID an

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Omar, A. Imran, Najm Al-Din Abed Wisam, and N. Jbarah Ali. "Speed control of universal motor." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 1 (2019): 41–47. https://doi.org/10.11591/ijpeds.v10.i1.pp41-47.

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Universal Motors (UM) are normally used for driving portable apparatus such as hand tool machines, vacuum cleaners and most domestic apparatus. The importance of UM is due to its own advantages such as high starting torque, very powerful in relation to its small size, having a variable speed; and lower cost. So, this paper focus on UM speed control under variable loading conditions. A mathematical model for UM is designed. Two controllers are proposed for controlling the motor speed, output rate controller and output reset controller. Ant Colony Optimization (ACO) is proposed for tuning the co

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Gerov, Radmila, and Zoran Jovanovic. "The usage of Lambert W function for identification and speed control of a DC motor." Facta universitatis - series: Electronics and Energetics 32, no. 4 (2019): 581–600. http://dx.doi.org/10.2298/fuee1904581g.

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The paper proposes a new method of identifying the linear model of a DC motor. The parameter estimation is based on the closed-loop step response of the DC motor under a proportional controller. For the application of the method, a deliberate delay of the measured speed was introduced. The paper considers the speed regulation of the direct current motor with negligible inductance by applying 1-DOF and 2-DOF, proportional integral retarded controllers. The proportional and integral gain of the PI retarded controllers was received by using a pole placement method on the identified model. The Lam

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Хан, М. Х., and А. Н. Якунин. "DC motor controller with neuro-adaptive fuzzy control logic." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 8, no. 2(29) (2020): 15–16. http://dx.doi.org/10.26102/2310-6018/2020.29.2.015.

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Разработка контроллеров двигательных приводов является актуальной задачей в промышленных и роботизированных манипуляторах. Контроллеры двигателей постоянного тока (ДПТ) могут применяться в различных задачах, так как их использование даёт гибкие возможности для развития алгоритмов управления. Многие известные контроллеры, использующие обратную связь, не могут поддерживать эффективность системы на приемлемом уровне. В работе предлагается разработка нового контроллера ДПТ, который позволяет увеличить эффективность его управления за счёт уменьшения tn (времени нарастания), σ (перерегулирования) и

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Al-Bargothi, Sarah N., Ghazi M. Qaryouti, and Qazem M. Jaber. "Speed control of DC motor using conventional and adaptive PID controllers." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1221. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1221-1228.

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<p>Proportional Integral Derivative (PID) controllers are <a href="http://www.thesaurus.com/browse/extensively">extensively</a> used in practical industries to control the speed of DC Motors. The single weakness of PID controllers is their sensitivity to variation in parameters and operating conditions; thus, tuning the controller gains to adapt with these variations presents a practical challenge. In this paper, an adaptive mechanism that utilizes a Recursive Least Square (RLS) algorithm, with rate limiters, is implemented to perform an online self-adjusting of each of the P

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Gunabalan, R., and V. Subbiah. "Speed Sensorless Vector Control of Induction Motor Drive with PI and Fuzzy Controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 3 (2015): 315. http://dx.doi.org/10.11591/ijpeds.v5.i3.pp315-325.

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<p>This paper directed the speed-sensorless vector control of induction motor drive with PI and fuzzy controllers. Natural observer with fourth order state space model is employed to estimate the speed and rotor fluxes of the induction motor. The formation of the natural observer is similar to and as well as its attribute is identical to the induction motor. Load torque adaptation is provided to estimate the torque and rotor speed is estimated from the load torque, rotor fluxes and stator currents. There is no direct feedback in natural observer and also observer gain matrix is absent. B

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Tanawat, Chalardsakul, Piliyasilpa Chotnarin, and Sukontanakarn Viroch. "TMS320F28379D microcontroller for speed control of permanent magnet direct current motor." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2816–28. https://doi.org/10.11591/ijai.v13.i3.pp2816-2828.

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This paper aims to study the behavior of the proportional integral derivative (PID) and the fuzzy-based tuning PI-D controller for speed control of a permanent magnet direct current (PMDC) motor. The proposed method used a fuzzy-based tuning PI-D controller with a MATLAB/Simulink program to design and real-time implement a TMS320F28379D microcontroller for speed control of a PMDC motor. The performance of the study designed fuzzy-based tuning PI-D and PID controllers is compared and investigated. The fuzzy logic controller applies the controlling voltage based on motor speed errors. Finally, t

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