NDLI: Research of Complex Fuzzy Control on-off Magnetism Team Motor Speed-Adjusting System

Content Provider	IEEE Xplore Digital Library
Author	Zhao Ming-fa Chen Yan Zhang Zhi-yuan Dong Chun Dong Yu
Copyright Year	2006
Description	Author affiliation: Dept. of Electron. Eng., Chongqing Inst. of Technol. (Zhao Ming-fa; Chen Yan; Zhang Zhi-yuan; Dong Chun; Dong Yu)
Abstract	Usually on-off magnetism team motor speed-adjusting adopts traditional linear control algorithm (such as PID). In modern control system, it is nonlinear, multivariable, multi-coupling, high-dimension and the object is time-varying, uncertain and difficult to describe by math model because of the complex control object. The traditional algorithm is difficult to meet the need of on-off magnetism team motor speed-adjusting. The paper takes the fuzzy control technique into on-off magnetism team motor speed-adjusting system, designs a complex fuzzy control motor speed-adjusting system. The system composed to be a real-time data collection and control system by computer, A/D, D/A and sensor. It adopts on-off magnetism team motor (rating power 11 kw, rating rotate speed 1500 rpm), analog load (0~10 kw) to take a platform-frame experiment and make the system precision and dynamic performance achieve the need. Actually it is turn out to be feasible to use motor speed-adjusting, at the same time, have a good effect. After we take it, the control precision has been improved and had a good effect on improving the system quality
Sponsorship	China Electrotechnical Soc. IEEE Power Electron. Soc
Starting Page	1
Ending Page	3
File Size	195891
Page Count	3
File Format	PDF
ISBN	1424404487
DOI	10.1109/IPEMC.2006.4778274
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Control systems Niobium Nonlinear control systems Fuzzy systems Sensor systems Feedback Fuzzy reasoning Three-term control Control system synthesis speed-adjusting system On-off magnetism team motor Complex fuzzy control
Content Type	Text
Resource Type	Article

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