The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 31-654
Full Name: Jinbao He
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: No.149,Yanchang Road, Zhabei District,Shanghai
Country: CHINA
Tel: 13482354541
Tel prefix: 086
Fax:
E-mail address: hejinbao79@yahoo.cn
Other E-mails: perfecthjb@163.com
Title of the Paper: tension robust control strategy based on self-optimizing algorithm
Authors as they appear in the Paper: Jinbao He, Yongyi He, Shuai Guo, Minglun Fang
Email addresses of all the authors: hejinbao79@yahoo.cn,perfecthjb@163.com
Number of paper pages: 11
Abstract: In tension systems, the main concern is to decouple the tension and velocity in spite of radius variations and other perturbations. To solve this control problem and design the optimal controller, this paper develops a mixed-sensitivity robust control based on self-optimizing algorithm. First, the modeling of the tension system is presented with relative theorems. Second, a mixed-sensitivity robust control which reduces the coupling between tension and velocity is compared to PID controller. But the controller is conservative, the controller method with parameter fuzzification is introduced. At low velocity, the control method with parameter fuzzification gets fine results. However, for the high velocity and real time requirements of tension system, the control method with parameter fuzzification cannot keep the controller optimal always. Therefore the tension robust control strategy based on self-optimizing algorithm is proposed. The controller is optim!
ized by hyper generation GA (HGGA) which reduces computing time. Furthermore, the current error and the change of the error are turned to compensate time delay. In order to test the effectiveness of the proposed algorithms, the tension experiment platform analog system is developed based on DSP (TMS320LF2407A) board. Finally the algorithms in this paper are tested in tension system platform, and the feasibility has been verified.
Keywords: tension system; robust control; Parameter fuzzification; Genetic algorithm (GA); Hyper generation GA (HGGA); Time delay; DSP
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