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Proceedings Paper

A high-speed fuzzy controller with human simulated intelligent weight coefficient
Author(s): Taifu Li; Rui Zhang; Hongyan Chen; Song Luo
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Paper Abstract

In order to develop a kind of universal controller that is very convenient in actual applications, it is necessary to utilize the universal approximation characteristic of an intelligent control algorithm. But it is very hard to implement control in real-time because of the large amount of computation needed. A fuzzy control, with human simulated intelligent weight coefficient, was selected as the control algorithm, since its computations are less than that of the other intelligent approaches. To improve the performance in real time, a high-speed memory address mapping approach was adopted as the hardware implementation. The entire ideas, including the algorithm and approach, are introduced in detail. Based on theoretical studies, corresponding hardware circuits were designed, and this kind of fuzzy controller was developed. In the experimental study, the experimental device of machine control was selected, and the fuzzy controller developed to manipulate the machine's speed was applied. Under the same experimental conditions, the control performance of the fuzzy controller was excellent with respect to its speed. The control quality was found to be better than that of PID hardware circuit control system.

Paper Details

Date Published: 2 May 2006
PDF: 8 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 604202 (2 May 2006); doi: 10.1117/12.664512
Show Author Affiliations
Taifu Li, Chongqing Institute of Technology (China)
Rui Zhang, Chongqing Institute of Technology (China)
Hongyan Chen, Chongqing Institute of Technology (China)
Song Luo, Chongqing Chinese Medicine Research Institute (China)


Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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