Designing structure-specified mixed H/sub 2//H/sub /spl infin// optimal controllers using an intelligent genetic algorithm IGA

Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization

“…1, where P(s) is the nominal plant, DP(s) is the plant perturbation, G c (s) is the controller, r(t) is the reference input, u(t) is the control input, e(t) is the tracking error, d(t) is the external disturbance, and y(t) is the output of the system [17].…”

“…There are two approaches to deal with robust optimal controller design problems. One is the structure specified controller [6,7,16,17,22,24] and the other is the output feedback controller [25]. Since the order of the robust output feedback controller is much higher than that of the system, it is not easy 0020-0255/$ -see front matter Ó 2011 Elsevier Inc. All rights reserved.…”

“…Many researchers have employed mixed H 2 /H 1 optimal design strategy for optimal robust PID controller [6,7,16,17,22,24,44]. In [7], authors propose the design of simple genetic algorithm (GA) based mixed H 2 /H 1 controller for SISO system by minimizing ISE (H 2 norm) subjected to robust stability and disturbance attenuation constraints.…”

“…The orthogonal simulated annealing algorithm (OSA) is applied to design the optimal robust PID controller for MIMO system by minimizing combined ISE and balanced robust performance criteria [16]. An intelligent genetic algorithm (IGA) is proposed to the design of mixed H 2 /H 1 optimal robust PID controller [17]. In all of the above mentioned papers [6,7,16,17,22,24], the mixed H 2 /H 1 optimal robust PID controller design problem was solved using single objective optimization algorithms by combining different objectives or by treating some objectives as constraints.…”

“…For the design of optimal robust PID controller, two different systems, namely MIMO distillation column model [17,38] and MIMO super maneuverable F18/HARV fighter aircraft system [6,[15][16][17] are considered. The two systems included in this paper have more than one objective conflicting with each other.…”