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Item type:Publication, Tuning PID controller using genetic algorithms for electro-hydraulic system with tracking force control(2014-01-01) ;Moonumca, Pisan ;Depaiwa, NattawootYamamoto, YoshioThe aim of this paper is design a controller for force control of an Electro-Hydraulic System and selection of a PID gains are using genetic algorithm. The mathematical model is considered as the Newton second law and compressible fluid flow theory. This paper compares two kinds of tuning methods for PID controller. One is the controller design by the genetic algorithm, second is the controller design by the Ziegler and Nichols method. Each PID gains are tested with step input function, square signal, half-sine signal and half-saw signal. And results show performance index with rise time, settling time and Maximum %OS. It was found that the proposed PID gains tuning by the genetic algorithm is better than the Ziegler & Nichols' method. © (2014) Trans Tech Publications, Switzerland. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Structured robust control for MIMO systems using artificial intelligent techniques(2012-01-16) ;Kaitwanidvilai, Somyot ;Olranthichachat, PiyapongNimpitiwan, NatthaphobIn this chapter, a new technique called fixed-structure robust control using artificial intelligent (AI) technique is proposed to enhance both performance and stability of controlled system. In this approach, the structure of controller is specified and the robust stabilization problem is solved by AI techniques. The advantages of simple structure, robustness and high performance can be achieved. In this paper, two multiple inputs multiple outputs (MIMO) controller design problems, i.e., robust control design for electro-hydraulic servo system and fixed-structure robust mixed-sensitivity approach for three phase inverter are illustrated. Simulation results show that the proposed controller has simpler structure than that of conventional robust controller, and the stability margin obtained indicates the robustness of the proposed controller. © 2012 Springer Science+Business Media, LLC. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of optimal robust PI controller for electro-hydraulic servo system(2011-08-24) ;Olranthichachat, PiyapongKaitwanidvilai, SomyotThis paper proposes a new technique to design an optimal robust PI-controller for electro-hydraulic servo system to achieve both the robustness and performance. Comparative study between the conventional robust control and the proposed technique is included in the paper. Particle Swarm Optimization (PSO) is adopted to simplify the solving of structured robust control problem to realize the practical robust controller. Simulation results show that the proposed controller has simpler structure than that of the conventional robust loop shaping controller, and the stability margin obtained indicates the robustness of the proposed controller. Simulation and experimental results verify the effectiveness of the proposed algorithm.
