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From Single to Many-Objective PID Controller Design using Particle Swarm Optimization
Hélio Freire,P. B. Moura Oliveira,E. J. Solteiro Pires 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2
Proportional, integrative and derivative (PID) controllers are among the most used in industrial controlapplications. Classical PID controller design methodologies can be significantly improved by incorporatingrecent computational intelligence techniques. Two techniques based on particle swarm optimization (PSO) algorithmsare proposed to design PI-PID controllers. Both control design methodologies are directed to optimizePI-PID controller gains using two degrees-of-freedom control configurations, subjected to frequency domain robustnessconstraints. The first technique proposes a single-objective PSO algorithm, to sequentially design a twodegrees-of-freedom control structure, considering the optimization of load disturbance rejection followed by setpointtracking optimization. The second technique proposes a many-objective PSO algorithm, to design a twodegrees-of-freedom control structure, considering simultaneously, the optimization of four different design criteria. In the many-objective case, the control engineer may select the most adequate solution among the resulting optimalPareto set. Simulation results are presented showing the effectiveness of the proposed PI-PID design techniques, incomparison with both classic and optimization based methods.