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Designing mixed H2/H structure specified controllers using Particle Swarm Optimization (PSO) algorithm

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DOI: 10.4236/ns.2014.61004    3,308 Downloads   4,729 Views  

ABSTRACT

This paper proposes an efficient method for designing accurate structure-specified mixed H2/H optimal controllers for systems with uncertainties and disturbance using particle swarm (PSO) algorithm. It is designed to find a suitable controller that minimizes the performance index of error signal subject to an unequal constraint on the norm of the closed-loop system. Although the mixed H2/H for the output feedback approach control is considered as a robust and optimal control technique, the design process normally comes up with a complex and non-convex optimization problem, which is difficult to solve by the conventional optimization methods. The PSO can efficiently solve design problems of multi-input-multi-output (MIMO) optimal control systems, which is very suitable for practical engineering designs. It is used to search for parameters of a structure-specified controller, which satisfies mixed performance index. The simulation and experimental results show high feasibility, robustness and practical value compared with the conventional proportional-integral-derivative (PID) and proportional-Integral (PI) controller, and the proposed algorithm is also more efficient compared with the genetic algorithm (GA).

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Younis, A. , Khamees, A. and Taha, F. (2014) Designing mixed H2/H structure specified controllers using Particle Swarm Optimization (PSO) algorithm. Natural Science, 6, 17-22. doi: 10.4236/ns.2014.61004.

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