Robust model predictive control and receding horizon based observer for a brushless DC drive
In this thesis, a state space predictive control scheme to provide high performance and robust positioning of a brushless DC motor drive is proposed. In this scheme, a rational function weighting factor is introduced into the cost function of the predictive controller. Our studies indicate that this...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4071 |
| _version_ | 1811678831188115456 |
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| author | Zhuang, Hualiang. |
| author2 | Low, Kay Soon |
| author_facet | Low, Kay Soon Zhuang, Hualiang. |
| author_sort | Zhuang, Hualiang. |
| collection | NTU |
| description | In this thesis, a state space predictive control scheme to provide high performance and robust positioning of a brushless DC motor drive is proposed. In this scheme, a rational function weighting factor is introduced into the cost function of the predictive controller. Our studies indicate that this weighting factor can be tuned to improve the robustness of the servo drive in terms of larger inertia mismatch bound than the generalized predictive control scheme. Based on the proposed control scheme, the relationships between the controller parameters and the properties of the closed loop system, including settling time of step response and the inertia mismatch bound, are investigated. Some tuning rules of the controller are summarized. |
| first_indexed | 2024-10-01T02:59:30Z |
| format | Thesis |
| id | ntu-10356/4071 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T02:59:30Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/40712023-07-04T15:46:11Z Robust model predictive control and receding horizon based observer for a brushless DC drive Zhuang, Hualiang. Low, Kay Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation In this thesis, a state space predictive control scheme to provide high performance and robust positioning of a brushless DC motor drive is proposed. In this scheme, a rational function weighting factor is introduced into the cost function of the predictive controller. Our studies indicate that this weighting factor can be tuned to improve the robustness of the servo drive in terms of larger inertia mismatch bound than the generalized predictive control scheme. Based on the proposed control scheme, the relationships between the controller parameters and the properties of the closed loop system, including settling time of step response and the inertia mismatch bound, are investigated. Some tuning rules of the controller are summarized. Master of Engineering 2008-09-17T09:43:48Z 2008-09-17T09:43:48Z 2000 2000 Thesis http://hdl.handle.net/10356/4071 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Zhuang, Hualiang. Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title | Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title_full | Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title_fullStr | Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title_full_unstemmed | Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title_short | Robust model predictive control and receding horizon based observer for a brushless DC drive |
| title_sort | robust model predictive control and receding horizon based observer for a brushless dc drive |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation |
| url | http://hdl.handle.net/10356/4071 |
| work_keys_str_mv | AT zhuanghualiang robustmodelpredictivecontrolandrecedinghorizonbasedobserverforabrushlessdcdrive |