Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor

Rahayu, Eka Suci; Ma’arif, Alfian; Çakan, Abdullah

doi:10.31763/ijrcs.v2i2.476

Cited by 29 publications

(16 citation statements)

References 61 publications

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“…Equation (12) show that the effective value of the resistance is proportional inversely with the duty cycle D. Classical approaches for tuning PID controller gains (such as Ziegler-Nichols (ZN) method) results in high overshoot, and therefore advanced algorithms like Genetic Algorithm (GA) , and Particle swarm optimization (PSO) algorithm are popularly used for enhancing controllers performance [16][17]. In this work, the proposed PI controller's parameters (KPs, KIs) are tuned using PSO algorithm as shown in Fig.…”

Section: Chopper Controlled Rotor Resistancementioning

confidence: 99%

Enhancing the performance of Wound-Rotor Self-Excited Induction Generator for Wind Energy Application

sayed¹,

Sharaf

Bassiouny

2023

International Journal of Advanced Engineering and Business Scie

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One of the main disadvantage of the squirrel cage self-excited induction generator is the variation of both voltage and frequency with the speed variations. The amplitude and frequency of the output voltage of a self-excited induction generator may be adjusted across a wide speed range by using a slip-ring induction machine. In this, paper a study on using a self-excited slip-ring induction generator (SEWRIG) to generate an output with constant voltage and frequency by controlling effective rotor resistance. The steady state characteristics are obtained by analyzing the normalized equivalent circuit of the self-excited induction generator. The study revealed that, for a given stator load impedance, as the speed is varied both the frequency and the voltage can be maintained constant, without changing the excitation capacitance. A closed-loop control scheme for the constant voltage and frequency operation of (SEWRIG) using chopper-controlled rotor resistance is also discussed. With a properly tuned proportional-plusintegral (PI) controller using Particle Swarm Optimization (PSO) algorithm, satisfactory dynamic performance of the (SEWRIG) is obtained. Experiments performed on a 370 W laboratory machine to confirm the feasibility of the proposed method.

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Section: Chopper Controlled Rotor Resistancementioning

confidence: 99%

Enhancing the performance of Wound-Rotor Self-Excited Induction Generator for Wind Energy Application

sayed¹,

Sharaf

Bassiouny

2023

International Journal of Advanced Engineering and Business Scie

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“…To ensure the reliability and robustness of a system, various closed-loop controller techniques can be employed, such as proportional integral derivative (PID) [13]- [15], fuzzy logic [16]- [20], and neural network [21]- [23] controllers.…”

Section: Introductionmentioning

confidence: 99%

Firefly algorithm tuning of PID position control of DC motor using parameter estimator toolbox

Jallad,

Badran

2024

Bulletin EEI

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This paper aims to design an accurate angular position control for DC motors using a proportional integral derivative (PID) controller. The estimated DC motor parameters have been calculated using the parameter estimator toolbox in MATLAB, Arduino Mega 2560 and speed sensor to build an accurate model in MATLAB. The optimized PID coefficients are found for the DC motor model using the firefly algorithm (FA), which aims to make the actual angle match the desired value without overshooting and oscillations. The PIC16F877A microcontroller was used to implement the code based on optimized PID coefficients found in MATLAB/Simulink to generate the suitable pulse width modulation (PWM) output. In this work, step input was tested to analyze the characteristics of the system response in terms of rise time, settling time and overshoot. It was found that the controller output response curve which is produced from FA-based-PID reached the desired position without overshoot and any oscillations. The findings established that closed-loop control of any system using a system identification toolbox and optimized PID technique can be applied in real applications using low-cost controllers and sensors such as PIC16F877A microcontroller and analog rotary position sensor, respectively.

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“…On-line tuning has also been performed on a real DC motor [14]. Rahayu et al used PSO to optimize the rise time value, settling time and overshoot values in the speed control of an Arduino-controlled DC motor [15]. Palma et al proposed an on-line optimization approach based on particle swarm optimization (PSO) for an experimental DC motor speed control.…”

Section: Introductionmentioning

confidence: 99%

Tuning PID controller parameters of the DC motor with PSO algorithm

Yıldırım,

Bingol,

Savas

2024

IRASE

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Direct current (DC) motors have superior features such as operating at different speeds, being affordable and easily controllable. Therefore, DC motors have many uses, such as machine tools and robotic systems in many factories up to the textile industry. The PID controller is one of the most common methods used to control DC motors. PID is a feedback controller with the terms Proportional, Integral, and Derivative. The proper selection of P, I, and D parameters is critical for achieving the desired control in the PID controller. In this study, the transfer function of a DC motor is first obtained, and the speed of the DC motor is controlled by the PID controller using this transfer function. Then, Particle Swarm Optimization (PSO), an optimization method based on swarm intelligence, is used to adjust the P, I, and D parameters. By using the obtained P, I, and D coefficients, the speed of the DC motor is tried to be controlled, and the effect of the filter coefficient on the system output is examined. The performance of the proposed PSO-PID controller with successful results is given in tables and graphics. Control and optimization studies are carried out with MATLAB Simulink.

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Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor

Cited by 29 publications

References 61 publications

Enhancing the performance of Wound-Rotor Self-Excited Induction Generator for Wind Energy Application

Enhancing the performance of Wound-Rotor Self-Excited Induction Generator for Wind Energy Application

Firefly algorithm tuning of PID position control of DC motor using parameter estimator toolbox

Tuning PID controller parameters of the DC motor with PSO algorithm

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