A GA-optimized fuzzy PD+I controller for nonlinear systems
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
| Pages | 718-723 |
| Volume | 3 |
| Publication status | Published - 2001 |
Publication series
| Name | |
|---|---|
| Volume | 3 |
Conference
| Title | 27th Annual Conference of the IEEE Industrial Electronics Society IECON'2001 |
|---|---|
| Place | United States |
| City | Denver, CO |
| Period | 29 November - 2 December 2001 |
Link(s)
Abstract
This paper presents a design and simulation study of a fuzzy PD+I controller optimized via the Multi-Objective Genetic Algorithm (MOGA). The fuzzy PD+I controller preserves the linear structure of the conventional one, but has self-tuned gains. The proportional, integral, and derivative gains are nonlinear functions of their input signals, which have certain adaptive capability in set-point tracking performance. The proposed design is then optimized by using the MOGA. It is tested with a couple of simulated nonlinear systems, which demonstrated that these optimized gains make the fuzzy PD+I controller robust with faster response time and less overshoot than its conventional and non-optimized counterparts.
Research Area(s)
- Fuzzy control, Genetic algorithm, Optimization, PID controller
Citation Format(s)
A GA-optimized fuzzy PD+I controller for nonlinear systems. / Tang, K. S.; Man, Kim F.; Chen, Guanrong et al.
IECON Proceedings (Industrial Electronics Conference). Vol. 3 2001. p. 718-723.
IECON Proceedings (Industrial Electronics Conference). Vol. 3 2001. p. 718-723.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
