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