Tuesday , October 23 2018

Tuning of Robust PID Controller with Filter for SISO
System Using Evolutionary Algorithms

RATHINAM Muniraj1*, MARIA SILUVAIRAJ Willjuice Iruthayarajan2, RAMAVEERAPATHIRAN Arun3
1 (*Corresponding author) Assistant Professor (Senior Grade), Department of EEE, National Engineering College,
K. R. Nagar, Kovilpatti – 628 503, Tuticorin District, Tamil Nadu, India.
e-mail: munirajphd@gmail.com
2 Professor & Head of the Department, Department of EEE, National Engineering College,
K. R. Nagar, Kovilpatti – 628 503, Tuticorin District, Tamil Nadu, India.
e-mail: m.willjuice@gmail.com
3 Associate Professor, Department of EIE, National Engineering College,
K. R. Nagar, Kovilpatti – 628 503, Tuticorin District, Tamil Nadu, India.
e-mail: arun.pathiran@gmail.com

ABSTRACT: This paper discusses the performance comparison of Evolutionary Algorithm techniques with a view to tuning the desired design parameters of robust PID controller with filter. The design parameters of robust PID controller such as proportional gain KP, integral time constant Ti, derivative time constant Td and filter time constant td/N  for Single Input Single Output (SISO) system are computed using Real coded Genetic Algorithm (RGA), Differential Evolution (DE) algorithm and Particle Swarm Optimization (PSO) algorithm. The design parameters are optimized using the statistical measures in twenty independent simulation runs. The computed design parameters obtained using Evolutionary Algorithms are used to determine the performance specifications of the Robust PID controller. The performance specifications determined are robustness with respect to model uncertainties and disturbance attenuation, set point tracking, load disturbance rejection and control energy. The test systems used to ascertain the performance specifications are Phase Locked Loop (PLL) system with motor control and Magnetic Levitation system (MLS). For PLL system, the output response obtained using the computed design parameters by RGA algorithm has proved to be better than DE and PSO. For MLS system, the output response obtained using the computed design parameters by DE algorithm has been better than PSO and RGA.

KEYWORDS: Single Input Single Output (SISO) system; Real coded Genetic Algorithm (RGA); Differential Evolution (DE); Particle Swarm Optimization (PSO).

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CITE THIS PAPER AS:
RATHINAM Muniraj*, MARIA SILUVAIRAJ Willjuice Iruthayarajan, RAMAVEERAPATHIRAN Arun,
Tuning of Robust PID Controller with Filter for SISO System Using Evolutionary Algorithms, Studies in Informatics and Control, ISSN 1220-1766, vol. 26(3), pp. 277-286, 2017.

https://doi.org/10.24846/v26i3y201703