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Content Provider | IEEE Xplore Digital Library |
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Author | Yi-Lung Hsu Ming-Shyan Huang Rong-Fong Fung |
Copyright Year | 2011 |
Description | Author affiliation: Department of Mechanical and Automation Engineering National Kaohsiung First University of Science and Technology, 824, Taiwan (Yi-Lung Hsu; Ming-Shyan Huang; Rong-Fong Fung) |
Abstract | In this paper, we propose a novel trajectory planning method for a precision positioning table driven by a permanent magnet synchronous motor (PMSM). To generate the mechatronic trajectory we develop a real-coded genetic algorithm (RGA) to search for the optimal trajectory for the motion. In this method, we design a high-degree polynomial to compute minimum-energy trajectories, and consider the problem of initial and final constraints in the algorithm. The RGA determines the parameters, which are to formulate the polynomial, and satisfy the desired fitness function of the minimum input energy. The adaptive control (AC) are developed based on mathematical knowledge of the precision positioning table and the PMSM. The proposed adaptive control is robust not only to parametric uncertainties of mass variations but also to external disturbances. The effectiveness of the proposed trajectory planning and adaptive control are demonstrated by numerical simulations in the point to point motion processes for the precision positioning table. |
Starting Page | 26 |
Ending Page | 31 |
File Size | 317597 |
Page Count | 6 |
File Format | |
ISBN | 9781457708138 |
e-ISBN | 9781457708169 |
DOI | 10.1109/ICICIP.2011.6008192 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-07-25 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Mechatronics Polynomials Trajectory Planning Mathematical model Adaptive control |
Content Type | Text |
Resource Type | Article |
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