JOURNAL ARTICLE

Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller

Wei Li

Year: 1998 Journal:   IEEE Transactions on Fuzzy Systems Vol: 6 (4)Pages: 449-463   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Presents approaches to the design of a hybrid fuzzy logic proportional plus conventional integral-derivative (fuzzy P+ID) controller in an incremental form. This controller is constructed by using an incremental fuzzy logic controller in place of the proportional term in a conventional PID controller, By using the bounded-input/bounded-output "small gain theorem", the sufficient condition for stability of this controller is derived. Based on the condition, we modify the Ziegler and Nichols' approach to design the fuzzy P+ID controller. In this case, the stability of a system remains unchanged after the PID controller is replaced by the fuzzy P+ID controller without modifying the original controller parameters. When a plant can be described by any modeling method, the fuzzy P+ID controller can be determined by an optimization technique. Finally, this controller is used to control a nonlinear system. Numerical simulation results demonstrate the effectiveness of the fuzzy P+ID controller in comparison with the conventional PID controller, especially when the controlled object operates under uncertainty or in the presence of a disturbance.

Keywords:
Control theory (sociology) PID controller Fuzzy logic Controller (irrigation) Open-loop controller Mathematics Fuzzy control system Bounded function Computer science Control engineering Engineering Control (management) Temperature control Artificial intelligence

Metrics

200
Cited By
5.94
FWCI (Field Weighted Citation Impact)
27
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
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