  This paper presents a new optimal fuzzy approach based on particle swarm
optimization evolutionary algorithm for controlling the servo actuating system.
It is clear that attaining the maximum stability margin is the prominent goal
in control design of servo actuating systems. To reach the control goal, two
main steps of design are required, an appropriate identification method and a
controller development. Hence, the nonlinear system is first identified by the
fuzzy algorithm. Then, the controller parameters and the algorithms weighting
functions are tuned through the Particle Swarm Optimization algorithm. The
objective function of optimal control strategy is such that the minimum error
between the actual and the identified data is attained. The effectiveness of
the proposed approach comparing to the conventional fuzzy control with regular
parameter tuning is illustrated and analyzed in the simulations.
