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Journal articles on the topic 'ITAE function'

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1

Wibawa, Hari, Oyas Wahyunggoro, and Adha Imam Cahyadi. "DC Motor Speed Control Using Hybrid PID-Fuzzy with ITAE Polynomial Initiation." IJITEE (International Journal of Information Technology and Electrical Engineering) 3, no. 1 (2019): 7. http://dx.doi.org/10.22146/ijitee.46590.

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DC motors are widely applied in industrial sector, especiallyprocesses of automation and robotics. Given its role in the sector, DC motor operation needs to be optimized. One of optimization steps is controlling speed using several control methods, for example conventional PID methods, PID Ziegler Nichols, PID based on ITAE polynomials, and Hybrid PID-Fuzzy. From these methods, Hybrid PID-Fuzzy was chosen as a method to be proposed in this paper because it can anticipate shortcomings of PID controllers and fuzzy controllers so as to produce system responses that are fast and adaptive to errors
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2

Acharya, Bishwa Babu, Sandeep Dhakal, Aayush Bhattarai, and Nawraj Bhattarai. "PID speed control of DC motor using meta-heuristic algorithms." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (2021): 822. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp822-831.

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This paper presents archimedes optimization algorithm(AOA) and dispersive flies optimization(DFO) to optimally tune gain parameters of PID control scheme in order to regulate DC motor’s speed. These suggested techniques tune the controller by the minimization of the fitness function represented by the integral of time multiplied by absolute error (ITAE). The modelling and simulation are carried out in MATLAB/Simulink. The transient response of unit step input obtained from AOA-PID-ITAE andDFO-PID-ITAE controllers were compared to those obtained from Ziegler-Nichols (ZN) method and particle swa
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3

Bishwa, Babu Acharya, Dhakal Sandeep, Bhattarai Aayush, and Bhattarai Nawraj. "PID speed control of DC motor using meta-heuristic algorithms." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 12 (2021): 822–31. https://doi.org/10.11591/ijpeds.v12.i2.pp822-831.

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This paper presents archimedes optimization algorithm (AOA) and dispersive flies optimization (DFO) to optimally tune gain parameters of PID control scheme in order to regulate DC motor’s speed. These suggested techniques tune the controller by the minimization of the fitness function represented by the integral of time multiplied by absolute error (ITAE). The modelling and simulation are carried out in MATLAB/Simulink. The transient response of unit step input obtained from AOA-PID-ITAE and DFO-PID-ITAE controllers were compared to those obtained from Ziegler-Nichols (ZN) method and par
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4

Taiwo Ajiboye, Aye, Jayeola Femi Opadiji, Olusogo Joshua Popoola, and Olalekan Femi Adebayo. "Selection of PID controller design plane for time-delay systems using genetic algorithm." International journal of electrical and computer engineering systems 13, no. 10 (2022): 917–26. http://dx.doi.org/10.32985/ijeces.13.10.7.

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The design of a Proportional-Integral-Derivative (PID) controller with proportional, integral, and derivative, gain, k p , k i , and k d , respectively, for a time-delay system, is quite common, particularly in the k i - k d plane, for a fixed k p or in the k p - k i plane, for a fixed k d . These design methods have been widely reported in the literature, however, the process of investigating the effects of using any of these design planes on system performance has not been given serious attention hence the need for this study. The stability region in the k i - k d and k p - k i design plane
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5

Yao, Shu Jun, Ya Nan Hu, Min Xiao Han, Duo Na, and Shi Ying Ma. "Parameter Optimization of PI Controllers in Emergency Power Support." Applied Mechanics and Materials 347-350 (August 2013): 1313–17. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1313.

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This paper proposes an effective way to optimization of the PI parameters of controllers in emergency power support. Transient simulation is used to evaluate the optimization objective function, an optimization algorithm based on the Particle Swarm Optimization method is used as the engine for producing new candidate points. The ITAE index is used to evaluate the dynamic response of AC system, the objective is to minimize the weighed sum of ITAE associated with different simulation states. The usefulness of the approach is demonstrated by a simulation of multiline HVDC-AC transmission in paral
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6

Boopathi, D., S. Saravanan, K. Jagatheesan, and B. Anand. "Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller." International Journal of Applied Evolutionary Computation 12, no. 2 (2021): 36–49. http://dx.doi.org/10.4018/ijaec.2021040103.

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This paper proposes the particle swarm optimization (PSO) technique-based proportional integral derivative (PID) controller suggested for frequency regulation of a micro grid (MG) system. MG system integrates with thermal power generating units, renewable energy sources (RES) like photovoltaic (PV), wind energy generators (WTG), and Energy storage systems (ESS) such as fuel cell (FC) and battery energy storage system (BESS). Indentifying the supremacy of proposed technique-based controller and supremacy is examined with three objective functions (integral absolute error [IAE], integral time ab
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7

Robles, Edgar Hiram, Felipe J. Torres, Antonio J. Balvantín-García, Israel Martínez-Ramírez, Gustavo Capilla, and Juan-Pablo Ramírez-Paredes. "Fractional Calculus Applied to the Generalized Model and Control of an Electrohydraulic System." Fractal and Fractional 8, no. 12 (2024): 679. http://dx.doi.org/10.3390/fractalfract8120679.

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In this paper, fractional calculus is used to develop a generalized fractional dynamic model of an electrohydraulic system composed of a servo valve and a hydraulic cylinder, where a fractional position controller PIγDμ is proposed for minimizing the performance index according to the integral of the time-weighted absolute error (ITAE). First, the general mathematical equations of the cylinder and servo valve are used to obtain the transfer functions in fractional order by applying Caputo’s definition and a Laplace transform. Then, through a block diagram of the closed-loop system without a co
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8

Kaliannan, Jagatheesan, Anand Baskaran, and Nilanjan Dey. "Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization." International Journal of Service Science, Management, Engineering, and Technology 6, no. 2 (2015): 18–34. http://dx.doi.org/10.4018/ijssmet.2015040102.

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In this work, Artificial Intelligence (AI) based Ant Colony Optimization (ACO) algorithm is proposed for Load Frequency Control (LFC) of interconnected multi–area hydrothermal power systems. Area 1&2 are thermal power systems and area 3 is a hydro power system, all the areas are interconnected through the appropriate tie-line. Thermal and hydro power plants are applied with reheat turbine and electric governor respectively. Investigated power system initially applied with conventional Proportional-Integral (PI) controller and controller parameters are optimized by using trial and error met
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9

El-Sehiemy, Ragab, Abdullah Shaheen, Ahmed Ginidi, and Saad F. Al-Gahtani. "Proportional-Integral-Derivative Controller Based-Artificial Rabbits Algorithm for Load Frequency Control in Multi-Area Power Systems." Fractal and Fractional 7, no. 1 (2023): 97. http://dx.doi.org/10.3390/fractalfract7010097.

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A major problem in power systems is achieving a match between the load demand and generation demand, where security, dependability, and quality are critical factors that need to be provided to power producers. This paper proposes a proportional–integral–derivative (PID) controller that is optimally designed using a novel artificial rabbits algorithm (ARA) for load frequency control (LFC) in multi-area power systems (MAPSs) of two-area non-reheat thermal systems. The PID controller incorporates a filter with such a derivative coefficient to reduce the effects of the accompanied noise. In this r
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10

Nidhi, Sahu, Sahu Sandeep, and Sahu Pushpa. "THD analysis and stability enhancement of PID controller in SRF-based shunt active filter under different design criteria using GWO technique." i-manager's Journal on Circuits and Systems 10, no. 2 (2022): 19. http://dx.doi.org/10.26634/jcir.10.2.18912.

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Power electronic devices are essential to industrial processes, research, and development, it provides high efficiency, low cost, fast operation, and ideal dimensions. Power systems are significantly affected by harmonics, which are mainly generated by non-linear loads and power conversion technologies, including static converters, breakers, cycloconverters, battery charging systems, and heating components. Various filtering methods are available for harmonic suppression, among which the active power shunt filter is one of the most significant and effective. Harmonics are suppressed and system
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11

Alkhasraji, Jafaar Mohammed, Salam W. Shneen, and Mohammed Q. Sulttan. "Reduction of Large Scale Linear Dynamic MIMO Systems Using ACO-PID Controller." Ingeniería e Investigación 44, no. 1 (2024): e106657. http://dx.doi.org/10.15446/ing.investig.106657.

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The MIMO technique is an essential element in the standards of communication systems (IEEE 802.11n, IEEE 802.11ac, WiMAX, and LTE) because it helps to increase their capacity. This paper employs a model order reduction (MOR) technique with a PID controller, an ACO algorithm, and the ITAE fitness function to reduce the large-scale linearity of the MIMO technique. The numerator and denominator parameters are set by minimizing the ITAE fitness function between the transient responses of the original and the reduced model. The objectives are achieved with the PID controller and the ACO algorithm f
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12

Mutlag, Ammar Hussein, Omar Nameer Mohammed Salim, and Siraj Qays Mahdi. "Optimum PID controller for airplane wing tires based on gravitational search algorithm." Bulletin of Electrical Engineering and Informatics 10, no. 4 (2021): 1905–13. http://dx.doi.org/10.11591/eei.v10i4.2953.

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In this paper, the gravitational search algorithm (GSA) is proposed as a method for controlling the opening and closing of airplane wing tires. The GSA is used to find the optimum proportional-integral-derivative (PID) controller, which controls the wing tires during take-off and landing. In addition, the GSA is suggested as an approach for overcoming the absence of the transfer function, which is usually required to design the optimum PID. The use of the GSA is expected to improve the system. Two of the most popular optimisation algorithms-the harmony search algorithm (HSA) and the particle s
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13

Ammar, Hussein Mutlag, Nameer Mohammed Salim Omar, and Qays Mahdi Siraj. "Optimum PID controller for airplane wing tires based on gravitational search algorithm." Bulletin of Electrical Engineering and Informatics 10, no. 4 (2021): 1905~1913. https://doi.org/10.11591/eei.v10i4.2953.

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In this paper, the gravitational search algorithm (GSA) is proposed as a method for controlling the opening and closing of airplane wing tires. The GSA is used to find the optimum proportional-integral-derivative (PID) controller, which controls the wing tires during take-off and landing. In addition, the GSA is suggested as an approach for overcoming the absence of the transfer function, which is usually required to design the optimum PID. The use of the GSA is expected to improve the system. Two of the most popular optimisation algorithms-the harmony search algorithm (HSA) and the particle s
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14

P, Aravind, and M.Girirajkumar S. "Performance Optimization of PI Controller in Non Linear Process using Genetic Algorithm." Performance Optimization of PI Controller in Non Linear Process using Genetic Algorithm 3, no. 5 (2013): 1968–72. https://doi.org/10.5281/zenodo.5517052.

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Recently, through the use of soft computing techniques fine tuning of PID controller parameters are carried out for non linear process. In this paper the Genetic Algorithm (GA) optimization technique, is successfully applied for tuning PI controller used in conical tank level process and hence to minimize the integral time absolute error (ITAE). A conical tank level process is represented as first order plus dead time transfer function. It is obtained by deriving mathematical differential equation and implemented in MATLAB. The main objective is to obtain a minimum rise time, minimum setting t
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15

Mishra, Soumya, Pujari Harish Kumar, Rajarajan Ramasamy, Renjini Edayillam Nambiar, and Praveena Puvvada. "Load frequency control of interconnected power system using cuckoo search algorithm." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1465–74. http://dx.doi.org/10.11591/eei.v13i3.6714.

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This paper presents a new time-domain multi-objective function approach for solving load frequency control issue in an interconnected power system. The performance of interconnected power system in each area is validated for overshoot and settling time values of frequency change and tie-line power exchange. An objective function is created with the goal of enhancing proportional integral derivative (PID) controller settings by reducing overshoot and achieving faster time-domain settling times. The efficiency of the proposed time-domain multi-objective function is evaluated in a two-area therma
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16

Taieb, Ali, and Abdellaziz Ferdjouni. "A New design of fuzzy logic controller optimized By PSO-SCSO applied To SFO-DTC induction motor drive." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5813. http://dx.doi.org/10.11591/ijece.v10i6.pp5813-5823.

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In this paper, a new strategy for the design of fuzzy logic controllers (FLC) is proposed. This strategy is based on the optimization, by the particle swarm optimization (PSO) Algorithm and by sine-cosine based swarm optimization (SCSO) Algorithm, of the input-output gains and the geometric forms of the triangular membership functions of the proposed FLC. This latter is obtained by the minimizing a cost function based on combining two criterions, the Integral Time Absolute Error (ITAE) and Integral Absolute Error (IAE). A comparison, between the conventional FLC and the proposed FLC is carried
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17

Sulttan, Mohammed Qasim, Salam Waley Shneen, and Jafaar Mohammed Daif Alkhasraji. "Performance enhancement of large-scale linear dynamic MIMO systems using GWO-PID controller." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2852–59. http://dx.doi.org/10.11591/eei.v12i5.4870.

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The multi-input multi-output (MIMO) technique is becoming grown and integrated into wireless wideband communication. MIMO techniques suffer from a large-scale linear dynamic problem, it will be easy to adjust the proportional-integral-derivative (PID) of a continuous system, unlike the nonlinear model. This work displays the tuning of the PID controller for MIMO systems utilizing a statistical grey wolf optimization (GWO) and evaluated by objective function as integral time absolute error (ITAE). The instantaneous adjusting characteristic GWO approach is the criterion that distinguishes such a
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18

Feleke, Solomon, Raavi Satish, Balamurali Pydi, Degarege Anteneh, Almoataz Y. Abdelaziz, and Adel El-Shahat. "Damping of Frequency and Power System Oscillations with DFIG Wind Turbine and DE Optimization." Sustainability 15, no. 6 (2023): 4751. http://dx.doi.org/10.3390/su15064751.

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Wind power is one of the most promising renewable energy resources and could become a solution to contribute to the present energy and global warming crisis of the world. The commonly used doubly fed induction generator (DFIG) wind turbines have a general trend of increasing oscillation damping. Unless properly controlled, the high penetration of wind energy will increase the oscillation and affect the control and dynamic interaction of the interconnected generators. This paper discusses power oscillation damping control in the automatic generation control (AGC) of two-area power systems with
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19

Çiftçi, Kübra, Muhammed Arif Şen, and Hasan Huseyin Bilgic. "VPSA-Based Transfer Function Identification of Single DoF Copter System." Volume 04 Issue 02 vm04, is02 (2023): 87–97. http://dx.doi.org/10.23890/ijast.vm04is02.0204.

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In this study, an experimental set of a Single-DoF Copter system is created and transfer functions that could model the dynamics of the physical system with high accuracy were investigated. In order to model the dynamics of the physical system with the highest accuracy, the five different transfer functions have been proposed, in which the zero and pole values are determined by optimizing with the Vibrating Particle System Algorithm. Integral Square Error (ISE), Integral Time Square Error (ITSE), Integral Absolute Error (IAE), Integral Time Absolute Error (ITAE) functions, which are widely use
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20

Ajiboye, A. T., J. O. Popoola, O. Oniyide, and S. L. Ayinla. "PID controller for microsatellite yaw-axis attitude control system using ITAE method." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 2 (2020): 1001–11. https://doi.org/10.12928/TELKOMNIKA.v18i2.14303.

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The need for effective design of satellite attitude control (SAC) subsystem for a microsatellite is imperative in order to guarantee both the quality and reliability of the data acquisition. A proportional-integral-derivative (PID) controller was proposed in this study because of its numerous advantages. The performance of PID controller can be greatly improved by adopting an integral time absolute error (ITAE) robust controller design approach. Since the system to be controlled is of the 4th order, it was approximated by its 2nd order version and then used for the controller design. Both the
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21

Ali, Hossam Hassan, Ahmed Fathy, Abdullah M. Al-Shaalan, et al. "A Novel Sooty Terns Algorithm for Deregulated MPC-LFC Installed in Multi-Interconnected System with Renewable Energy Plants." Energies 14, no. 17 (2021): 5393. http://dx.doi.org/10.3390/en14175393.

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This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA) to determine the optimum parameters of model predictive control (MPC)-based deregulated load frequency control (LFC). The system structure consists of three interconnected plants with nonlinear multisources comprising wind turbine, photovoltaic model with maximum power point tracker, and superconducting magnetic energy storage under deregulated environment. The proposed objective function is the integral time absolute error (ITAE) of the deviations in frequencies and powers in tie-lines. The analy
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22

Ramadhan, Yulio, Hari Hadi Santoso, and Erna Kusuma Wati. "Pengendalian 3-Axis Reaction Wheel Satelit LAPAN-TUBSAT A1 Menggunakan Kendali PID Teroptimasi Algoritma Genetika." Jurnal Ilmiah Giga 21, no. 1 (2019): 24. http://dx.doi.org/10.47313/jig.v21i1.581.

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Reaction wheel merupakan aktuator aktif yang digunakan pada subsistem Attitude Determination and Control System (ADCS) Satelit, pada penelitian ini pengendalian reaction wheel disimulasikan dengan menggunakan kendali PID dan penalaan menggunakan Algoritma Genetika dengan populasi awal sebanyak 100 populan, laju crossover 0.8, konstanta mutasi 0.01, kriteria penghenti adalah 50 generasi dengan fitness function berdasarkan indeks performansi PID yaitu ITAE. Pengendalian Reaction Wheel pada lingkar tertutupnya dengan kendali PID yang teroptimasi Algoritma Genetika memiliki karakteristik respon tr
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23

Chen, Min-Rong, Huan Wang, Guo-Qiang Zeng, Yu-Xing Dai, and Da-Qiang Bi. "Optimal P-Q Control of Grid-Connected Inverters in a Microgrid Based on Adaptive Population Extremal Optimization." Energies 11, no. 8 (2018): 2107. http://dx.doi.org/10.3390/en11082107.

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The optimal P-Q control issue of the active and reactive power for a microgrid in the grid-connected mode has attracted increasing interests recently. In this paper, an optimal active and reactive power control is developed for a three-phase grid-connected inverter in a microgrid by using an adaptive population-based extremal optimization algorithm (APEO). Firstly, the optimal P-Q control issue of grid-connected inverters in a microgrid is formulated as a constrained optimization problem, where six parameters of three decoupled PI controllers are real-coded as the decision variables, and the i
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24

Ali, Taieb, and Ferdjouni Abdellaziz. "A new design of fuzzy logic controller optimized by PSO-SCSO applied to SFO-DTC induction motor drive." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5813–23. https://doi.org/10.11591/ijece.v10i6.pp5813-5823.

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In this article, a new strategy for the design of fuzzy logic controllers (FLC) is proposed. This strategy is based on the optimization of the FLC, by the hybridization between the particle swarm optimization algorithm (PSO) and the sine-cosine swarm optimization algorithm (SCSO), This new strategy is called FLC-PSCSO. The input-output gains and the geometric shapes of the triangular membership functions of the FLC are the objective functions to be optimized. The optimization of the latter is obtained by minimizing a cost function based on the combination of two criteria, the integral time abs
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25

Sharma, Ashish, Manoj Kumar Kar, and Harsh Goud. "Intelligent metaheuristic algorithm based FOPID controller for CSTR system." International Journal of Advances in Applied Sciences 14, no. 1 (2025): 60. https://doi.org/10.11591/ijaas.v14.i1.pp60-68.

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The purpose of this research is to assess a continuous stirred-tank reactor (CSTR) system's performance. To enhance its performance, a fractional-order proportional-integral-derivative (FOPID) controller was employed, necessitating the tuning of independent control parameters. For this purpose, a sine-cosine algorithm (SCA) was introduced to optimize these parameters. The FOPID controller, tuned using the SCA, provides a powerful combination that addresses the complexities of the CSTR system. The fractional-order nature of the FOPID controller allows for superior tuning and robustness, offerin
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Wazir, Awadh Ba, Sultan Alghamdi, Abdulraheem Alobaidi, Abdullah Ali Alhussainy, and Ahmad H. Milyani. "Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller." Energies 17, no. 24 (2024): 6402. https://doi.org/10.3390/en17246402.

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A fuzzy cascaded PI−PD (FCPIPD) controller is proposed in this paper to optimize load frequency control (LFC) in the linked electrical network. The FCPIPD controller is composed of fuzzy logic, proportional integral, and proportional derivative with filtered derivative mode controllers. Utilizing renewable energy sources (RESs), a dual-area hybrid AC/DC electrical network is used, and the FCPIPD controller gains are designed via secretary bird optimization algorithm (SBOA) with aid of a novel objective function. Unlike the conventional objective functions, the proposed objective function is ab
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27

Qi, Haitao, Gary M. Bone, and Yile Zhang. "Position Control of Pneumatic Actuators Using Three-Mode Discrete-Valued Model Predictive Control." Actuators 8, no. 3 (2019): 56. http://dx.doi.org/10.3390/act8030056.

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A novel discrete-valued model-predictive control (DVMPC) algorithm termed DVMPC2 for the position control of pneumatic actuators using inexpensive on/off valves is presented. DVMPC2 includes a more flexible cost function, an improved prediction strategy, and other improvements. The actuator is a double-acting cylinder with two on/off solenoid poppet valves connected to each chamber. To reduce the switching frequency and prolong the valve life, DVMPC2 directly switches the valves when necessary, instead of using relatively high-frequency pulse-width modulation. Experimental comparisons are made
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Tabassum, Nafisa, Effat Jahan, Niloy Goswami, and Md Saniat Rahman Zishan. "Performance Analysis of Automatic Generation Control for a Multi-Area Interconnected System Using Genetic Algorithm and Particle Swarm Optimization Technique." AIUB Journal of Science and Engineering (AJSE) 23, no. 1 (2024): 42–53. http://dx.doi.org/10.53799/ajse.v23i1.967.

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The primary focus of this paper is to assess an interconnected power system using different optimization techniques. The main purpose is to employ different optimization techniques, including genetic algorithms (GA) and particle swarm optimization (PSO), to systematically enhance the performance of a multi-area or two-area automatic generation control (AGC) system, aiming to optimize the three PID controllers gain values and improve system performance under diverse loading conditions. Two case studies are conducted exploring different loading conditions in the megawatt (MW) range, including in
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Ashish, Sharma, Kumar Kar Manoj, and Goud Harsh. "Intelligent metaheuristic algorithm based FOPID controller for CSTR system." International Journal of Advances in Applied Sciences (IJAAS) 14, no. 1 (2025): 60–68. https://doi.org/10.11591/ijaas.v14.i1.pp60-68.

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The purpose of this research is to assess a continuous stirred-tank reactor (CSTR) system's performance. To enhance its performance, a fractional order proportional-integral-derivative (FOPID) controller was employed, necessitating the tuning of independent control parameters. For this purpose, a sine-cosine algorithm (SCA) was introduced to optimize these parameters. The FOPID controller, tuned using the SCA, provides a powerful combination that addresses the complexities of the CSTR system. The fractional-order nature of the FOPID controller allows for superior tuning and robustness, offerin
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30

Dogruer, Tufan, and Mehmet Serhat Can. "Design and robustness analysis of fuzzy PID controller for automatic voltage regulator system using genetic algorithm." Transactions of the Institute of Measurement and Control 44, no. 9 (2022): 1862–73. http://dx.doi.org/10.1177/01423312211066758.

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In this paper, a Fuzzy proportional–integral–derivative (Fuzzy PID) controller design is presented to improve the automatic voltage regulator (AVR) transient characteristics and increase the robustness of the AVR. Fuzzy PID controller parameters are determined by a genetic algorithm (GA)-based optimization method using a novel multi-objective function. The multi-objective function, which is important for tuning the controller parameters, obtains the optimal solution using the Integrated Time multiplied Absolute Error (ITAE) criterion and the peak value of the output response. The proposed meth
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Babesse, S. "Design of Two Optimized Controllers of a Hydraulic Actuator Semi-Active Suspension: A Comparison Study." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4561–65. http://dx.doi.org/10.48084/etasr.2836.

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A parallel optimization of Proportional, Integral and Derivative (PID) controller and a sixth order phase lead-lag compensator of a high order naturally oscillatory hydraulic actuator are proposed in this paper. The PID controller parameters (proportional, integral and derivative) and the compensator parameters (gain, poles and zeros) are obtained by minimizing the Integral of Time Absolute Error (ITAE) criterion. The proposed methods are demonstrated through a realistic numerical synthesis example of a hydraulic actuator dedicated to a semi-active suspension modeled by an eighth order transfe
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Babesse, Saad. "Design of Two Optimized Controllers of a Hydraulic Actuator Semi-Active Suspension: A Comparison Study." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4561–65. https://doi.org/10.5281/zenodo.3370757.

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A parallel optimization of Proportional, Integral and Derivative (PID) controller and a sixth order phase lead-lag compensator of a high order naturally oscillatory hydraulic actuator are proposed in this paper. The PID controller parameters (proportional, integral and derivative) and the compensator parameters (gain, poles and zeros) are obtained by minimizing the Integral of Time Absolute Error (ITAE) criterion. The proposed methods are demonstrated through a realistic numerical synthesis example of a hydraulic actuator dedicated to a semi-active suspension modeled by an eighth order transfe
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A., A. M. Zahir, S. N. Alhady S., A. F. W. Othman W., A. A. Wahab A., and F. Ahmad M. "Objective functions modification of GA optimized PID controller for brushed DC motor." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2426–33. https://doi.org/10.11591/ijece.v10i3.pp2426-2433.

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PID Optimization by Genetic Algorithm or any intelligent optimization method is widely being used recently. The main issue is to select a suitable objective function based on error criteria. Original error criteria that is widely being used such as ITAE, ISE, ITSE and IAE is insufficient in enhancing some of the performance parameter. Parameter such as settling time, rise time, percentage of overshoot, and steady state error is included in the objective function. Weightage is added into these parameters based on users’ performance requirement. Based on the results, modified error criteri
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34

Abdurrakhman, Arief, Lilik Sutiarso, Makhmudun Ainuri, Mirwan Ushada, and Md Parvez Islam. "Design of a Pressure Control System in Biogas Reactor Based on PID Controller with Ziegler-Nichols and Auto Tuning PSO." Jurnal Otomasi Kontrol dan Instrumentasi 16, no. 2 (2024): 104–16. http://dx.doi.org/10.5614/joki.2024.16.2.5.

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Biogas, an eco-friendly energy source, significantly reduces greenhouse gas emissions by converting organic waste or biomass into methane. However, the quality of biogas, primarily determined by methane content and pressure variables, directly impacts its efficiency and safety. This study, which aims to design a pressure control system and monitor methane gas levels in a biogas reactor using a PID Controller with Particle Swarm Optimization (PSO), provides crucial insights into improving biogas production efficiency and safety. Tests were conducted on a fixed dome-type biogas reactor in the Ea
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35

Byamakesh, Nayak, Sahu Sangeeta, and Roy Choudhury Tanmoy. "Parameter Estimation of DC Motor using Adaptive Transfer Function based on Nelder-Mead Optimisation." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 696–702. https://doi.org/10.11591/ijeecs.v9.i3.pp696-702.

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This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning,
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36

Porwal, Mridul, Girish Parmar, and Rajesh Bhatt. "Robustness Analysis of GWOPID Approach in Control of Ball Hoop System with ITAE Objective Function." International Journal of Computer Sciences and Engineering 6, no. 8 (2018): 218–22. http://dx.doi.org/10.26438/ijcse/v6i8.218222.

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37

Jamal, M. Ahmed. "Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1367–75. https://doi.org/10.11591/ijece.v10i2.pp1367-1375.

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For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear quadratic regulator (LQR) which relies on state vector feedback. Despite this strategy gives very good result, it still has trial and error procedure to select the values of its weight matrices which plays a important role in reaching to the desiered system performance. In order to overcome this problem, the Genetic algorithm is used. The design of genetic algorithm based linear quadratic regulator (GA-LQR) utilized Integral time absolute error (ITAE) as a cost function for optimization. The props
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38

Nguyen, Thanh Chung, and Huu Tinh Cao. "Design of Robust H∞ Combined with PID Controller Using Fuzzy Logic for a Missile Autopilot." Advances in Military Technology 19, no. 1 (2024): 41–53. http://dx.doi.org/10.3849/aimt.01831.

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This paper presents the synthesis results of a robust H∞ (H-infinity) loop-shaping controller combined with a PID (Proportional-Integral-Derivative) controller using fuzzy logic for the pitch autopilot of a tail control missile. The results take into consideration the change of mass, moment of inertia, and aerodynamic coefficients. The combination of the control signal of the robust controller and the PID controller is formed on the basis of adjusting the membership function of fuzzy logic according to the ITAE (Integral of Time-multiplied Absolute value of Error) optimization criterion. The p
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39

Liu, M., C. Li, Y. Lei, and P. Dai. "PID control parameter optimization of servo system based on particle swarm optimization." Journal of Physics: Conference Series 2460, no. 1 (2023): 012166. http://dx.doi.org/10.1088/1742-6596/2460/1/012166.

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Abstract Thermal power servo system is a typical servo system, the controller as the main component, its parameters decide the control performance of the servo system, The traditional Z-N PID parameter setting method is often unable to achieve the best control performance. The author proposes a particle swarm optimization (PSO) algorithm, which uses the integrated performance index time and error absolute value product integral ITAE as the fitness function and applies it to PID control parameter optimization. The model is built in MATLAB/Simulink for analysis and comparision. The results displ
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40

Bazi, Smail, Redha Benzid, Yakoub Bazi, and Mohamd Mahmoud Al Rahhal. "A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor." Sensors 21, no. 16 (2021): 5267. http://dx.doi.org/10.3390/s21165267.

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Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one. Consequently, this article aims to present an accelerated variant compared to the original Algorithm. Through the resolving of some benchmark functions to reach optimal solution, obtained results demonstrate the superiority of the suggested alternative, so-called Fast Firefly Algorithm (FFA), when faced with t
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41

Al-Ani, Fatin R., Omar F. Lutfy, and Huthaifa Al-Khazraji. "Optimal Synergetic and Feedback Linearization Controllers Design for Magnetic Levitation Systems: A Comparative Study." Journal of Robotics and Control (JRC) 6, no. 1 (2024): 22–30. https://doi.org/10.18196/jrc.v6i1.24452.

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In this paper, the stabilization and trajectory tracking of the magnetic levitation (Maglev) system using optimal nonlinear controllers are investigated. Firstly, the overall structure and physical principle represented by the nonlinear differential equations of the Maglev system are established. Then, two nonlinear controllers, namely synergetic control (SC) and feedback linearization based state feedback controller (FL-SFC), are proposed to force the ball's position using the voltage control input in the Maglev system to track a desired trajectory. For the SC design, the Lyapunov function is
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42

Ahmed, Jamal M. "Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1367. http://dx.doi.org/10.11591/ijece.v10i2.pp1367-1375.

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Abstract:
For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear quadratic regulator (LQR) which relies on state vector feedback. Despite this strategy gives very good result, it still has trial and error procedure to select the values of its weight matrices which plays a important role in reaching to the desiered system performance. In order to overcome this problem, the Genetic algorithm is used. The design of genetic algorithm based linear quadratic regulator (GA-LQR) utilized Integral time absolute error (ITAE) as a cost function for optimization. The props
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43

Zahir, A. A. M., Syed Sahal Nazli Alhady, A. A. A. Wahab, and M. F. Ahmad. "Objective functions modification of GA optimized PID controller for brushed DC motor." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2426. http://dx.doi.org/10.11591/ijece.v10i3.pp2426-2433.

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PID Optimization by Genetic Algorithm or any intelligent optimization method is widely being used recently. The main issue is to select a suitable objective function based on error criteria. Original error criteria that is widely being used such as ITAE, ISE, ITSE and IAE is insufficient in enhancing some of the performance parameter. Parameter such as settling time, rise time, percentage of overshoot, and steady state error is included in the objective function. Weightage is added into these parameters based on users’ performance requirement. Based on the results, modified error criteria show
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44

Gupta, Mohan, and Rahul Sharma. "Evaluation of Genetic Algorithm Optimization by Comparative Analysis of Error Values." Journal of Futuristic Sciences and Applications 2, no. 2 (2019): 6–11. http://dx.doi.org/10.51976/jfsa.221902.

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In this paper to test the performance of GA a comparative study has been carried out between PI and PD Controller. The two different objective functions have been chosen that is integral absolute error and integral total absolute error on different generations the controller has been run as a result the minimum value of error has been found in controller in which the objective function was ITAE and a detailed evaluation of Genetic Algorithm has been carried out through out the paper. Optimization and search issues may be solved using genetic algorithms, which are seen as a search process in co
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Nourelhouda, Fartas, and Khelassi Abdelmadjid. "Fractional PID controller based on biggest log modulus tuning method with MOPSO optimization for distillation column." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1396. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1396-1404.

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The main contribution of this work is to design a fractional order proportional integral derivative (FO-PID) controller by combining the biggest log modulus tuning (BLT) method and multi-objective particle swarm optimization (PSO) algorithm for the control of the challenging multivariable systems. The parameters of the integer proportional integral (PI) controller are designed preliminary using BLT method. The derivation parameter, the fractional integrator and the fractional derivation parameters is formulated as an optimization problem with many objective functions as minimizing the integral
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46

Nourelhouda, Fartas, and Khelassi Abdelmadjid. "Fractional PID controller based on biggest log modulus tuning method with MOPSO optimization for distillation column." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1396–404. https://doi.org/10.11591/ijeecs.v28.i3.pp1396-1404.

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The main contribution of this work is to design a fractional order proportional integral derivative (FO-PID) controller by combining the biggest log modulus tuning (BLT) method and multi-objective particle swarm optimization (PSO) algorithm for the control of the challenging multivariable systems. The parameters of the integer proportional integral (PI) controller are designed preliminary using BLT method. The derivation parameter, the fractional integrator and the fractional derivation parameters is formulated as an optimization problem with many objective functions as minimizing the integral
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47

Parkh, Kapil, and Vinesh Agarwal. "DESIGN OF SSSC BASED DAMPING CONTROLLER USING TLBO ALGORITHM." ICTACT Journal on Microelectronics 6, no. 2 (2020): 934–41. https://doi.org/10.21917/ijme.2020.0162.

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The proposed study shows a coordinated serial synchronous static compensator (SSSC) design that has been introduced as a complement to soaking oscillations at low frequencies. The design and structure of SSSC-based control is based on the forward delay structure and includes gate turn of thyristor (GTO) as a control device. This controller is implemented in a single machine Infinity Bus Power System (SMIB) based on the Philips Heffron model to reduce low frequency oscillations. To adjust the parameters of the damping controller, the optimized learning-learning algorithm (TLBO) is used under va
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48

So, GunBaek. "Design of an Intelligent NPID Controller Based on Genetic Algorithm for Disturbance Rejection in Single Integrating Process with Time Delay." Journal of Marine Science and Engineering 9, no. 1 (2020): 25. http://dx.doi.org/10.3390/jmse9010025.

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The integrating process with time delay (IPTD) is a fundamentally unstable open-loop system due to poles at the origin of the transfer function, and designing controllers with satisfactory control performance is very difficult because of the associated time delay, which is a nonlinear element. Therefore, this study focuses on the design of an intelligent proportional-integral-derivative (PID) controller to improve the regulatory response performance to disturbance in an IPTD, and addresses problems related to optimally tuning each parameter of the controller with a real coded genetic algorithm
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Yousaf, Muhammad Zain, Ali Raza, Ghulam Abbas, et al. "MTDC Grids: A Metaheuristic Solution for Nonlinear Control." Energies 15, no. 12 (2022): 4263. http://dx.doi.org/10.3390/en15124263.

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This scientific paper aims to increase the voltage source converter (VSC) control efficiency in a multi-terminal high voltage direct current (MTDC) network during dynamic operations. In the proposed study, the Mayfly algorithm (MA) is used to modify the control parameters of VSC stations. Traditional strategies that modify VSC control settings using approximate linear models fail to produce optimal results because VSCs are nonlinear characteristics of the MTDC system. Particle swarm optimization (PSO) may produce optimal outcomes, but it is prone to becoming stuck in a local optimum. To modify
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50

Nikolic, Sasa, Igor Kocic, Dragan Antic, et al. "Speed and tensile force control of the pulling devices of the continuous line." Thermal Science, no. 00 (2023): 138. http://dx.doi.org/10.2298/tsci230418138n.

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In cable production, it is imperative to control speed and tension. This paper proposes a web tensile force regulation between input and output pulling caterpillar devices. The web tensile force is controlled indirectly using a PI controller based on feedback information about tensile force using a tensile observer. This paper also deals with the regulation speed of the input-pulling caterpillar device and the speed and torque (current) of output pulling caterpillar device and deals with the effect of line speed on the temperature change at the extruder zones. The input and output-pulling cate
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