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https://doi.org/10.17559/TV-20170612090511

Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods

J. Sivadasan   ORCID icon orcid.org/0000-0002-9399-351X ; National Engineering College, K. R. Nagar, Kovilpatti, Tamilnadu, India-628503
M. Willjuice Iruthayarajan   ORCID icon orcid.org/0000-0001-8134-1699 ; National Engineering College, K. R. Nagar, Kovilpatti, Tamilnadu, India-628503

Puni tekst: engleski, pdf (2 MB) str. 105-111 preuzimanja: 309* citiraj
APA 6th Edition
Sivadasan, J. i Willjuice Iruthayarajan, M. (2018). Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods. Tehnički vjesnik, 25 (Supplement 1), 105-111. https://doi.org/10.17559/TV-20170612090511
MLA 8th Edition
Sivadasan, J. i M. Willjuice Iruthayarajan. "Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods." Tehnički vjesnik, vol. 25, br. Supplement 1, 2018, str. 105-111. https://doi.org/10.17559/TV-20170612090511. Citirano 22.07.2019.
Chicago 17th Edition
Sivadasan, J. i M. Willjuice Iruthayarajan. "Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods." Tehnički vjesnik 25, br. Supplement 1 (2018): 105-111. https://doi.org/10.17559/TV-20170612090511
Harvard
Sivadasan, J., i Willjuice Iruthayarajan, M. (2018). 'Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods', Tehnički vjesnik, 25(Supplement 1), str. 105-111. https://doi.org/10.17559/TV-20170612090511
Vancouver
Sivadasan J, Willjuice Iruthayarajan M. Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods. Tehnički vjesnik [Internet]. 2018 [pristupljeno 22.07.2019.];25(Supplement 1):105-111. https://doi.org/10.17559/TV-20170612090511
IEEE
J. Sivadasan i M. Willjuice Iruthayarajan, "Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods", Tehnički vjesnik, vol.25, br. Supplement 1, str. 105-111, 2018. [Online]. https://doi.org/10.17559/TV-20170612090511

Sažetak
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.

Ključne riječi
Evolutionary Computation; Nonlinear Controller; Twin Rotor System

Hrčak ID: 200605

URI
https://hrcak.srce.hr/200605

Posjeta: 436 *