Self-tuning control of an electro-hydraulic actuator system
Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis i...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Exeley
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf http://psasir.upm.edu.my/id/eprint/23904/ http://s2is.org/Issues/v4/n2/ |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed control algorithm can adapt the changes occur in model parameters compared with the fixed controller. In conclusion, a self-tuning control is required in improving the EHS system performance in industrial positioning applications. |
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