Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization

2016 ◽  
Vol 8 (5) ◽  
pp. 1595-1605 ◽  
Author(s):  
Xiao Li ◽  
Ying Wang ◽  
Ning Li ◽  
Minyu Han ◽  
Yinggan Tang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Fractional Order ◽  
Pid Controller ◽  
Controller Design ◽  
Reference Model ◽  
Voltage Regulator ◽  
Swarm Optimization ◽  
Pid Controller Design ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

scholarly journals Optimal fractional order PID controller design using Ant Lion Optimizer

2020 ◽  
Vol 11 (2) ◽  
pp. 281-291 ◽  
Author(s):  
Rosy Pradhan ◽  
Santosh Kumar Majhi ◽  
Jatin Kumar Pradhan ◽  
Bibhuti Bhusan Pati
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Controller Design ◽  
Ant Lion Optimizer ◽  
Pid Controller Design ◽  
Ant Lion ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

Design of a fractional order PID controller for an AVR using particle swarm optimization

2009 ◽  
Vol 17 (12) ◽  
pp. 1380-1387 ◽  
Author(s):  
Majid Zamani ◽  
Masoud Karimi-Ghartemani ◽  
Nasser Sadati ◽  
Mostafa Parniani
Keyword(s):  
Particle Swarm Optimization ◽  
Fractional Order ◽  
Pid Controller ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

scholarly journals Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1182 ◽  
Author(s):  
Mihailo Micev ◽  
Martin Ćalasan ◽  
Diego Oliva
Keyword(s):  
Fractional Order ◽  
Controller Design ◽  
Step Response ◽  
Voltage Regulator ◽  
Performance Tests ◽  
Avr System ◽  
Pid Controller Design ◽  
Novel Method ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

This paper presents a novel method for optimal tunning of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for an Automatic Voltage Regulator (AVR) system. The presented method is based on the Yellow Saddle Goatfish Algorithm (YSGA), which is improved with Chaotic Logistic Maps. Additionally, a novel objective function for the optimization of the FOPID parameters is proposed. The performance of the obtained FOPID controller is verified by comparison with various FOPID controllers tuned by other metaheuristic algorithms. A comparative analysis is performed in terms of step response, frequency response, root locus, robustness test, and disturbance rejection ability. Results of the simulations undoubtedly show that the FOPID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests.

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