|From Single to Many-Objective PID Controller Design using Particle Swarm Optimization
Hélio Freire*, Paulo Oliveira, and E. J. Solteiro Pires
International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp.918-932, 2017
Abstract : "Proportional, integrative and derivative (PID) controllers are among the most used in industrial control
applications. Classical PID controller design methodologies can be significantly improved by incorporating
recent computational intelligence techniques. Two techniques based on particle swarm optimization (PSO) algorithms
are proposed to design PI-PID controllers. Both control design methodologies are directed to optimize
PI-PID controller gains using two degrees-of-freedom control configurations, subjected to frequency domain robustness
constraints. The first technique proposes a single-objective PSO algorithm, to sequentially design a two
degrees-of-freedom control structure, considering the optimization of load disturbance rejection followed by setpoint
tracking optimization. The second technique proposes a many-objective PSO algorithm, to design a two
degrees-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 optimal
Pareto set. Simulation results are presented showing the effectiveness of the proposed PI-PID design techniques, in
comparison with both classic and optimization based methods."
Evolutionary algorithms, many-objective optimization, particle swarm optimization, PID control.
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