Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control
In order to reduce the effect of nonlinear friction and time-varying factors on the servo system of a computer numerical control (CNC) machine tool and improve its motion control accuracy, this paper uses an adaptive sliding mode control (ASMC) method based on model reference adaptive control (MRAC)...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/24/9755 |
| _version_ | 1797379432953937920 |
|---|---|
| author | Taihao Zhang Xuewei Li Hongdong Gai Yuheng Zhu Xiang Cheng |
| author_facet | Taihao Zhang Xuewei Li Hongdong Gai Yuheng Zhu Xiang Cheng |
| author_sort | Taihao Zhang |
| collection | DOAJ |
| description | In order to reduce the effect of nonlinear friction and time-varying factors on the servo system of a computer numerical control (CNC) machine tool and improve its motion control accuracy, this paper uses an adaptive sliding mode control (ASMC) method based on model reference adaptive control (MRAC). The method adopts ASMC in the control outer loop and obtains the optimal control parameters by making the sliding mode control (SMC) law continuous and adaptively estimating the control parameters. At the same time, MRAC is used in the control inner loop to enhance the “invariance” of the controlled object so that the switching gain of SMC can satisfy the disturbance matching condition even under lesser conditions. Simulation and experimental results show that compared with the traditional SMC, the ASMC based on MRAC proposed in this paper effectively reduces the influence of nonlinear friction on the system performance, and the reduction in following error reaches 71.2%, which significantly improves the motion control accuracy of the control system. The spectral analysis of the following errors shows that the maximum magnitude reduction rate of the high-frequency chattering is 89.02%, which significantly reduces the effect of the high-frequency chattering and effectively improves the stability performance of the control system. |
| first_indexed | 2024-03-08T20:23:09Z |
| format | Article |
| id | doaj.art-89351147146342abbec468dea12ed46f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T20:23:09Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-89351147146342abbec468dea12ed46f2023-12-22T14:40:32ZengMDPI AGSensors1424-82202023-12-012324975510.3390/s23249755Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode ControlTaihao Zhang0Xuewei Li1Hongdong Gai2Yuheng Zhu3Xiang Cheng4School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, ChinaQilu Division, Sinopec Catalyst Co., Ltd., Zibo 255000, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, ChinaIn order to reduce the effect of nonlinear friction and time-varying factors on the servo system of a computer numerical control (CNC) machine tool and improve its motion control accuracy, this paper uses an adaptive sliding mode control (ASMC) method based on model reference adaptive control (MRAC). The method adopts ASMC in the control outer loop and obtains the optimal control parameters by making the sliding mode control (SMC) law continuous and adaptively estimating the control parameters. At the same time, MRAC is used in the control inner loop to enhance the “invariance” of the controlled object so that the switching gain of SMC can satisfy the disturbance matching condition even under lesser conditions. Simulation and experimental results show that compared with the traditional SMC, the ASMC based on MRAC proposed in this paper effectively reduces the influence of nonlinear friction on the system performance, and the reduction in following error reaches 71.2%, which significantly improves the motion control accuracy of the control system. The spectral analysis of the following errors shows that the maximum magnitude reduction rate of the high-frequency chattering is 89.02%, which significantly reduces the effect of the high-frequency chattering and effectively improves the stability performance of the control system.https://www.mdpi.com/1424-8220/23/24/9755dynamics model for CNC machinesnonlinear frictionmodel reference adaptive controladaptive sliding mode control |
| spellingShingle | Taihao Zhang Xuewei Li Hongdong Gai Yuheng Zhu Xiang Cheng Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control Sensors dynamics model for CNC machines nonlinear friction model reference adaptive control adaptive sliding mode control |
| title | Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control |
| title_full | Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control |
| title_fullStr | Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control |
| title_full_unstemmed | Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control |
| title_short | Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive Control and Adaptive Sliding Mode Control |
| title_sort | integrated controller design and application for cnc machine tool servo systems based on model reference adaptive control and adaptive sliding mode control |
| topic | dynamics model for CNC machines nonlinear friction model reference adaptive control adaptive sliding mode control |
| url | https://www.mdpi.com/1424-8220/23/24/9755 |
| work_keys_str_mv | AT taihaozhang integratedcontrollerdesignandapplicationforcncmachinetoolservosystemsbasedonmodelreferenceadaptivecontrolandadaptiveslidingmodecontrol AT xueweili integratedcontrollerdesignandapplicationforcncmachinetoolservosystemsbasedonmodelreferenceadaptivecontrolandadaptiveslidingmodecontrol AT hongdonggai integratedcontrollerdesignandapplicationforcncmachinetoolservosystemsbasedonmodelreferenceadaptivecontrolandadaptiveslidingmodecontrol AT yuhengzhu integratedcontrollerdesignandapplicationforcncmachinetoolservosystemsbasedonmodelreferenceadaptivecontrolandadaptiveslidingmodecontrol AT xiangcheng integratedcontrollerdesignandapplicationforcncmachinetoolservosystemsbasedonmodelreferenceadaptivecontrolandadaptiveslidingmodecontrol |