Hybrid fuzzy proportional-integral plus conventional derivativecontrol of linear and nonlinear systems
Meng Joo Er; Ya Lei Sun
Industrial Electronics, IEEE Transactions on
Volume 48, Issue 6, Dec 2001 Page(s):1109 - 1117
Digital Object Identifier 10.1109/41.969389
Summary:This paper presents a new approach toward the optimal design of a
hybrid proportional-integral-derivative (PID) controller applicable for
controlling linear as well as nonlinear systems using genetic algorithms
(GAs). The proposed hybrid PID controller is derived by replacing the
conventional PI controller by a two-input normalized linear fuzzy logic
controller (FLC) and executing the conventional D controller in an
incremental form. The salient features of the proposed controller are as
follows: (1) the linearly defined FLC can generate nonlinear output so
that high nonlinearities of complex systems can be handled; (2) only one
well-defined linear fuzzy control space is required for both linear and
nonlinear systems; (3) optimal tuning of the controller gains is carried
out by using a GA; and (4) it is simple and easy to implement.
Simulation results on a temperature control system (linear system) and a
missile model (nonlinear system) demonstrate the effectiveness and
robustness of the proposed controller
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