In this paper, a parallel structure of fuzzy PID control systems is propose
d. It is associated with a new tuning method which, based on gain margin an
d phase margin specifications, determines the parameters of the fuzzy PID c
ontroller. In comparison with conventional PID controllers, the proposed fu
zzy PID controller shows higher control gains when system states are away f
rom equilibrium and, at the same time, retains a lower profile of control s
ignals. Consequently, better control performance is achieved. With the prop
osed formula, the weighting factors of a fuzzy logic controller can be syst
ematically selected according to the plant under control. By virtue of usin
g the simplest structure of fuzzy logic control, the stability of the nonli
near control system can be analyzed and a sufficient BIBO stability conditi
on is given. The superior performance of the proposed controller is demonst
rated through an experimental example. (C) 2000 Elsevier Science Ltd. All r
ights reserved.