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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhe Zuo Ya-ping Dai Dong-hai Li Ya-li Xue Chuan-feng Wang Yue-jin Song |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Autom. Control, Beijing Inst. of Technol., Beijing (Zhe Zuo; Ya-ping Dai) |
| Abstract | This paper presents active disturbance rejection control system for toggle-motor coupling servomechanism system. Genetic algorithm and mixed H2/Hinfin norm index are utilized to optimize the system parameters; Monte-Carlo method is applied to evaluate the robustness of the control system. Simulation results show that under the condition of external disturbance, parameters perturbation and coupling, this method has cutting off characteristic for high-frequency noises and achieve lower sensitivity against the disturbances in low frequency range; its settling time is less than 0.5s, there is no step response static error and it has strong performance robustness. Compared with sliding mode control, this method avoids the chattering phenomena; compared with fuzzy neural network control, structure is simpler. |
| Starting Page | 3429 |
| Ending Page | 3433 |
| File Size | 299885 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424421138 |
| DOI | 10.1109/WCICA.2008.4594497 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Couplings Control systems Indexes Servomechanisms Frequency control Noise Mixed H2/H∞ Active disturbance Rejection Control Toggle-Motor coupling Servomechanism System Genetic Algorithm Monte-Carlo method |
| Content Type | Text |
| Resource Type | Article |
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