An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System
In order to meet the requirements of servo systems, including sensitive and rapid adjustment, high control and motion accuracy, and strong working adaptability, in special application fields, such as high thrust and long travel, an adaptive inversion control method is proposed for the lateral force...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5053 |
| _version_ | 1797501752889573376 |
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| author | Yunxiao Lian Yong Zhou Jianxin Zhang Shangjun Ma Shuai Wu |
| author_facet | Yunxiao Lian Yong Zhou Jianxin Zhang Shangjun Ma Shuai Wu |
| author_sort | Yunxiao Lian |
| collection | DOAJ |
| description | In order to meet the requirements of servo systems, including sensitive and rapid adjustment, high control and motion accuracy, and strong working adaptability, in special application fields, such as high thrust and long travel, an adaptive inversion control method is proposed for the lateral force and other nonlinear factors of multistage electromechanical servo system (MEMSS). The position tracking controller of permanent magnet synchronous motor (PMSM), based on an improved adaptive inversion method, was designed and its stability was analyzed, and the Luenberger load torque observer model of PMSM was established. The EMESS simulation model of an adaptive inversion controller was built using the Simulink platform, and the motor multibody dynamics model was established in ADAMS software. Through the joint simulation of Simulink and ADAMS software, the results of EMESS under adaptive inversion controller and traditional PID controller were compared, and the feasibility and reliability of the designed adaptive inversion controller were verified. Finally, the designed controller was tested based on the experimental platform. The experimental results show that the adaptive inversion controller designed in this paper has better robustness and stability than the traditional PID controller. |
| first_indexed | 2024-03-10T03:23:04Z |
| format | Article |
| id | doaj.art-1615ef85219b42e18428c7aa98bab947 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:23:04Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1615ef85219b42e18428c7aa98bab9472023-11-23T09:56:59ZengMDPI AGApplied Sciences2076-34172022-05-011210505310.3390/app12105053An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo SystemYunxiao Lian0Yong Zhou1Jianxin Zhang2Shangjun Ma3Shuai Wu4School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaXi’an Ding Bai Precision Technology Co., Ltd., Xi’an 710000, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaIn order to meet the requirements of servo systems, including sensitive and rapid adjustment, high control and motion accuracy, and strong working adaptability, in special application fields, such as high thrust and long travel, an adaptive inversion control method is proposed for the lateral force and other nonlinear factors of multistage electromechanical servo system (MEMSS). The position tracking controller of permanent magnet synchronous motor (PMSM), based on an improved adaptive inversion method, was designed and its stability was analyzed, and the Luenberger load torque observer model of PMSM was established. The EMESS simulation model of an adaptive inversion controller was built using the Simulink platform, and the motor multibody dynamics model was established in ADAMS software. Through the joint simulation of Simulink and ADAMS software, the results of EMESS under adaptive inversion controller and traditional PID controller were compared, and the feasibility and reliability of the designed adaptive inversion controller were verified. Finally, the designed controller was tested based on the experimental platform. The experimental results show that the adaptive inversion controller designed in this paper has better robustness and stability than the traditional PID controller.https://www.mdpi.com/2076-3417/12/10/5053multistage electromechanical servo systemintelligent nonlinear controlpermanent magnet synchronous motoradaptive inversion controljoint simulation |
| spellingShingle | Yunxiao Lian Yong Zhou Jianxin Zhang Shangjun Ma Shuai Wu An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System Applied Sciences multistage electromechanical servo system intelligent nonlinear control permanent magnet synchronous motor adaptive inversion control joint simulation |
| title | An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System |
| title_full | An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System |
| title_fullStr | An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System |
| title_full_unstemmed | An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System |
| title_short | An Intelligent Nonlinear Control Method for the Multistage Electromechanical Servo System |
| title_sort | intelligent nonlinear control method for the multistage electromechanical servo system |
| topic | multistage electromechanical servo system intelligent nonlinear control permanent magnet synchronous motor adaptive inversion control joint simulation |
| url | https://www.mdpi.com/2076-3417/12/10/5053 |
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