Optimization of PID for industrial electro-hydraulic actuator using PSOGSA

Alqadasi, Mohammed Maged Abdullah; Othman, Siti Marhainis; Rahmat, M. F.; Abdullah, F. S.

doi:10.12928/telkomnika.v17i5.12808

Cited by 10 publications

(4 citation statements)

References 17 publications

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“…Model reference adaptive schemes have been utilized for various applications due to their attractive features of perfect response, robustness and stability [31]− [35]. Speed estimation process using MRAS observer can be accomplished through three inherent subsystems: reference model (RM), adaptive model (AM) and adaptation mechanism.…”

Section: Model Reference Adaptive Systemmentioning

confidence: 99%

Low cost high performance self-starting sensorless single phase induction motor drive

Anagreh

Al-Ibbini

2023

IJPEDS

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<p><span lang="EN-US">The present paper is directed to achieve a low-cost high-performance self-starting single phase induction motor (SPIM) drive system. A phase shifted pulse width modulation (PWM) trains feeding the motor will replace the starting and running capacitors. Adaptive sliding mode control, enhance with model reference adaptive control (MRAC), is implemented to achieve high performance sensorless SPIM drive. The obtained results confirm the feasibility of the proposed system in starting and fast tracking the reference speed with nearly zero percentage overshoot and zero steady-state error. Moreover, the proposed SPIM drive system is robust to external load torque disturbances and insensitive to system parameter variations. Extensive simulations have been conducted to confirm the validity of the proposed system.</span></p>

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Section: Model Reference Adaptive Systemmentioning

confidence: 99%

Low cost high performance self-starting sensorless single phase induction motor drive

Anagreh

Al-Ibbini

2023

IJPEDS

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“…Mathematical models have been used for simulating various problems in the areas of telecommunication, computing, electronics and control [1]- [5]. The solution to the mathematical model represents the solution to the real problem.…”

Section: Introductionmentioning

confidence: 99%

A numerical-analytical iterative method for solving an electrical oscillator equation

Mungkasi

Widjaja

2021

TELKOMNIKA

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Self-excited oscillation problem occurring from a triode electrical circuit has been modelled by van der Pol. Until now, the exact solution to the van der Pol equation is not available. This paper focuses on finding a new method for solving the van der Pol equation simply and accurately. There exists several approximate iterative methods available in the literature for solving the van der Pol equation, such as, the successive approximation method. The successive approximation method is simple, but inaccurate for large time values. In this paper, we propose a new variant of numerical-analytical method, which is simple but accurate, for solving the van der Pol equation. Our new variant of numerical-analytical method solves the van der Pol equation from its equivalent system of first order ordinary differential equations. Our strategy leads to a simple implementation of the numericalanalytical method in the multistage way. Furthermore, computational experiments show that our proposed method is accurate for large sizes of time domain in solving the van der Pol equation.

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“…There is a lot of control method such as conventional PID controller, LQR controller [8], neural network controller [9], fuzzy controller [10][11][12]. Recently there is a lot of intelligent optimization method such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO),Artificial Bee colony, Firefly Algorithm, and Bacterial Foraging (BF) [7,[13][14][15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Objective functions modification of GA optimized PID controller for brushed DC motor

Zahir

Alhady

Wahab

et al. 2020

IJECE

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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 improvement in all performance parameter after being modified. All of the error criteria produce 0% overshoot, 29.51%-39.44% shorter rise time, 21.11%-42.98% better settling time, 10% to 53.76% reduction in steady state error. The performance of modified objective function in minimizing the error signal is reduced. It can be concluded that modification of objective function by adding performance parameter into consideration could improve the performance of rise time, settling time, overshoot percentage, and steady state error

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Optimization of PID for industrial electro-hydraulic actuator using PSOGSA

Cited by 10 publications

References 17 publications

Low cost high performance self-starting sensorless single phase induction motor drive

Low cost high performance self-starting sensorless single phase induction motor drive

A numerical-analytical iterative method for solving an electrical oscillator equation

Objective functions modification of GA optimized PID controller for brushed DC motor

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