Tunning PID controller using particle swarm optimization algorithm on automatic voltage regulator system

PID Controller (Proportional Integral Derivative) was invented since 1910, but till today still is used in industries, even though there are many kind of modern controllers like fuzz controller and neural network controller are being developed. Performance of PID controller is depend on on Proportio...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2016-04, Vol.128 (1), p.12038
Main Authors: Aranza, M F, Kustija, J, Trisno, B, Hakim, D L
Format: Article
Language:English
Subjects:
Algorithms
Control stability
Controllers
Frequency response
Gain scheduling
Neural networks
Nonlinear control
Nonlinear systems
Particle swarm optimization
Proportional integral derivative
Root locus
Stability analysis
Voltage regulators
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Summary:PID Controller (Proportional Integral Derivative) was invented since 1910, but till today still is used in industries, even though there are many kind of modern controllers like fuzz controller and neural network controller are being developed. Performance of PID controller is depend on on Proportional Gain (Kp), Integral Gain (Ki) and Derivative Gain (Kd). These gains can be got by using method Ziegler-Nichols (ZN), gain-phase margin, Root Locus, Minimum Variance dan Gain Scheduling however these methods are not optimal to control systems that nonlinear and have high-orde, in addition, some methods relative hard. To solve those obstacles, particle swarm optimization (PSO) algorithm is proposed to get optimal Kp, Ki and Kd. PSO is proposed because PSO has convergent result and not require many iterations. On this research, PID controller is applied on AVR (Automatic Voltage Regulator). Based on result of analyzing transient, stability Root Locus and frequency response, performance of PID controller is better than Ziegler-Nichols.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/128/1/012038