TITLE:
Designing mixed H2/H∞ structure specified controllers using Particle Swarm Optimization (PSO) algorithm
AUTHORS:
Ayman N. Salman Younis, Ali A. Khamees, Farooq T. Taha
KEYWORDS:
Mixed H2/H∞ Optimal Control; Particle Swarm Optimization Algorithm; Structure-Specified Controller
JOURNAL NAME:
Natural Science,
Vol.6 No.1,
January
23,
2014
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).