Original scientific paper
https://doi.org/10.17559/TV-20170612090511
Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods
J. Sivadasan
orcid.org/0000-0002-9399-351X
; National Engineering College, K. R. Nagar, Kovilpatti, Tamilnadu, India-628503
M. Willjuice Iruthayarajan
orcid.org/0000-0001-8134-1699
; National Engineering College, K. R. Nagar, Kovilpatti, Tamilnadu, India-628503
Abstract
In this paper, the Twin rotor MIMO system (TRMS) is tuned by Nonlinear PID controller using Evolutionary Computation methods. The proposed Nonlinear PID controller, used to tune TRMS, improves the system performance with additional degrees of freedom. Evolutionary Computation methods such as Differential Search Algorithm (DSA), real coded Genetic Algorithm (RGA) with simulated binary crossover (SBX) and Particle Swarm optimization (PSO) and Gravitational Search Algorithm (GSA) are used to determine the optimal parameters of the proposed controller by minimizing Integral Square Error (ISE) for rotor response of TRMS. SIMULINK MATLAB software is used for simulating the system. The statistical performance of the controller is analysed among twenty independent trials by taking best, worst, mean and standard deviations of ISE. Simulation results reveal that TRMS system tuned by nonlinear PID controller using Particle Swarm optimization (PSO) is better than the other methods.
Keywords
Evolutionary Computation; Nonlinear Controller; Twin Rotor System
Hrčak ID:
200605
URI
Publication date:
26.5.2018.
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