Hybrid control of a parallel platform based on pneumatic artificial muscles combining sliding mode controller and adaptive fuzzy CMAC
A three degree of freedom parallel platform based on pneumatic artificial muscle (TDOFPPM) with obvious features of nonlinearity, uncertainty and coupling is introduced in this paper. It would be a challenge to control a nonlinear system with strong uncertainties. The complexity of air flow and the...
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| Published in | Control engineering practice Vol. 21; no. 1; pp. 76 - 86 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.01.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0967-0661 1873-6939 |
| DOI | 10.1016/j.conengprac.2012.09.010 |
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| Abstract | A three degree of freedom parallel platform based on pneumatic artificial muscle (TDOFPPM) with obvious features of nonlinearity, uncertainty and coupling is introduced in this paper. It would be a challenge to control a nonlinear system with strong uncertainties. The complexity of air flow and the hysteresis of pneumatic artificial muscle are the main uncertainties in the TDOFPPM system. A hybrid controller combining sliding mode controller and adaptive fuzzy CMAC (AFCMAC) uncertainty compensator has been proposed for TDOFPPM. In order to guarantee the approximation ability for those main uncertainties, the input space and parallel structure are carefully designed for AFCMAC compensator. Finally a TDOFPPM experiment facility is introduced and the posture tracking control of TDOFPPM under two reference input signals are presented. The experiment results indicate the performance of hybrid controller is favorable. |
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| AbstractList | A three degree of freedom parallel platform based on pneumatic artificial muscle (TDOFPPM) with obvious features of nonlinearity, uncertainty and coupling is introduced in this paper. It would be a challenge to control a nonlinear system with strong uncertainties. The complexity of air flow and the hysteresis of pneumatic artificial muscle are the main uncertainties in the TDOFPPM system. A hybrid controller combining sliding mode controller and adaptive fuzzy CMAC (AFCMAC) uncertainty compensator has been proposed for TDOFPPM. In order to guarantee the approximation ability for those main uncertainties, the input space and parallel structure are carefully designed for AFCMAC compensator. Finally a TDOFPPM experiment facility is introduced and the posture tracking control of TDOFPPM under two reference input signals are presented. The experiment results indicate the performance of hybrid controller is favorable. |
| Author | Shi, G.L. Shen, W. |
| Author_xml | – sequence: 1 givenname: G.L. surname: Shi fullname: Shi, G.L. email: glshi@263.net organization: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China – sequence: 2 givenname: W. surname: Shen fullname: Shen, W. email: rayshencuixia@sina.com organization: College of Engineering, Shanghai Ocean University, Shanghai 201306, PR China |
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| Keywords | Pneumatic artificial muscle Adaptive fuzzy CMAC Hybrid control Sliding mode control Parallel platform |
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| SubjectTerms | Adaptive fuzzy CMAC Artificial muscles CMAC Compensators Fuzzy Fuzzy set theory Hybrid control Mathematical analysis Parallel platform Pneumatic artificial muscle Pneumatics Sliding mode control Uncertainty |
| Title | Hybrid control of a parallel platform based on pneumatic artificial muscles combining sliding mode controller and adaptive fuzzy CMAC |
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