Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors
Abstract To improve the trajectory tracking performance of planar motors against disturbances, model predictive position control (MPPC) methods using the non‐linear disturbance observer (NDO) are proposed in this study. Based on the single‐axis dynamic model with disturbances, a single‐axis NDO is d...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-04-01
|
| Series: | IET Electric Power Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/elp2.12398 |
| _version_ | 1797202145434402816 |
|---|---|
| author | Su‐Dan Huang Zhi‐Hui Xu Guang‐Zhong Cao Chao Wu Jiangbiao He |
| author_facet | Su‐Dan Huang Zhi‐Hui Xu Guang‐Zhong Cao Chao Wu Jiangbiao He |
| author_sort | Su‐Dan Huang |
| collection | DOAJ |
| description | Abstract To improve the trajectory tracking performance of planar motors against disturbances, model predictive position control (MPPC) methods using the non‐linear disturbance observer (NDO) are proposed in this study. Based on the single‐axis dynamic model with disturbances, a single‐axis NDO is designed using an extended state observer approach. The designed NDO is expressed as a third‐order non‐linear state‐space equation in which the position error, velocity error, and lumped disturbance in the single axis are taken as the state variables. Two MPPC methods are developed based on the NDO. In the first MPPC, the disturbance is embedded into the prediction model using the NDO, and a controller is designed to minimise a quadratic cost function, which is established by applying the prediction model with disturbance. The output of the controller is the control action. In the second MPPC, a controller is used to minimise the quadratic cost function, which is built by employing the prediction model without disturbance. The sum of the output of the controller and the compensated disturbance estimated by the NDO is the control action. The comparative experiment is performed on a planar motor system self‐developed in the laboratory. The effectiveness of the proposed methods is verified via the experimental results. |
| first_indexed | 2024-04-24T07:58:47Z |
| format | Article |
| id | doaj.art-e5dffe4b8a7c4d15af5c1b75fb923775 |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-24T07:58:47Z |
| publishDate | 2024-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-e5dffe4b8a7c4d15af5c1b75fb9237752024-04-18T03:56:45ZengWileyIET Electric Power Applications1751-86601751-86792024-04-0118438939910.1049/elp2.12398Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motorsSu‐Dan Huang0Zhi‐Hui Xu1Guang‐Zhong Cao2Chao Wu3Jiangbiao He4Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen ChinaGuangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen ChinaGuangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen ChinaGuangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen ChinaDepartment of Electrical and Computer Engineering University of Kentucky Lexington Kentucky USAAbstract To improve the trajectory tracking performance of planar motors against disturbances, model predictive position control (MPPC) methods using the non‐linear disturbance observer (NDO) are proposed in this study. Based on the single‐axis dynamic model with disturbances, a single‐axis NDO is designed using an extended state observer approach. The designed NDO is expressed as a third‐order non‐linear state‐space equation in which the position error, velocity error, and lumped disturbance in the single axis are taken as the state variables. Two MPPC methods are developed based on the NDO. In the first MPPC, the disturbance is embedded into the prediction model using the NDO, and a controller is designed to minimise a quadratic cost function, which is established by applying the prediction model with disturbance. The output of the controller is the control action. In the second MPPC, a controller is used to minimise the quadratic cost function, which is built by employing the prediction model without disturbance. The sum of the output of the controller and the compensated disturbance estimated by the NDO is the control action. The comparative experiment is performed on a planar motor system self‐developed in the laboratory. The effectiveness of the proposed methods is verified via the experimental results.https://doi.org/10.1049/elp2.12398linear motorsmotion controlposition controlpredictive control |
| spellingShingle | Su‐Dan Huang Zhi‐Hui Xu Guang‐Zhong Cao Chao Wu Jiangbiao He Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors IET Electric Power Applications linear motors motion control position control predictive control |
| title | Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors |
| title_full | Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors |
| title_fullStr | Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors |
| title_full_unstemmed | Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors |
| title_short | Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors |
| title_sort | nonlinear disturbance observer based predictive control for trajectory tracking of planar motors |
| topic | linear motors motion control position control predictive control |
| url | https://doi.org/10.1049/elp2.12398 |
| work_keys_str_mv | AT sudanhuang nonlineardisturbanceobserverbasedpredictivecontrolfortrajectorytrackingofplanarmotors AT zhihuixu nonlineardisturbanceobserverbasedpredictivecontrolfortrajectorytrackingofplanarmotors AT guangzhongcao nonlineardisturbanceobserverbasedpredictivecontrolfortrajectorytrackingofplanarmotors AT chaowu nonlineardisturbanceobserverbasedpredictivecontrolfortrajectorytrackingofplanarmotors AT jiangbiaohe nonlineardisturbanceobserverbasedpredictivecontrolfortrajectorytrackingofplanarmotors |