Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator
Magnetic shape memory alloy-based actuators (MSMA-BAs) have extensive applications in the field of micro-nano positioning technology. However, complex hysteresis seriously affects its performance. To describe the hysteresis of MSMA-BA, this study proposes integrating a hysteresis operator and the ra...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Actuators |
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| Online Access: | https://www.mdpi.com/2076-0825/14/1/4 |
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| author | Mengyao Wang Zhenze Liu Yewei Yu Xiaoning Yang Wei Gao |
| author_facet | Mengyao Wang Zhenze Liu Yewei Yu Xiaoning Yang Wei Gao |
| author_sort | Mengyao Wang |
| collection | DOAJ |
| description | Magnetic shape memory alloy-based actuators (MSMA-BAs) have extensive applications in the field of micro-nano positioning technology. However, complex hysteresis seriously affects its performance. To describe the hysteresis of MSMA-BA, this study proposes integrating a hysteresis operator and the rate-of-change function of the input signal into the least squares support vector machine (LS-SVM) framework to construct a rate-dependent dynamic hysteresis model for MSMA-BAs. The hysteresis operator converts the multi-valued mapping of hysteresis into a one-to-one mapping, while the rate-of-change function of the input signal captures the rate dependence of the hysteresis, thereby enhancing the model’s ability to describe complex hysteresis. In addition, with the powerful nonlinear fitting capability and good generalization of LS-SVM, the dynamic performance of the proposed model is effectively improved. Experimental results show that the proposed model accurately describes the hysteresis of MSMA-BA. |
| format | Article |
| id | doaj-art-6a2f88b22b1849e9b900002523f39b1c |
| institution | Kabale University |
| issn | 2076-0825 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj-art-6a2f88b22b1849e9b900002523f39b1c2025-01-24T13:15:08ZengMDPI AGActuators2076-08252024-12-01141410.3390/act14010004Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy ActuatorMengyao Wang0Zhenze Liu1Yewei Yu2Xiaoning Yang3Wei Gao4Department of Control Science and Engineering, Jilin University, Changchun 130012, ChinaDepartment of Control Science and Engineering, Jilin University, Changchun 130012, ChinaDepartment of Control Science and Engineering, Jilin University, Changchun 130012, ChinaDepartment of Control Science and Engineering, Jilin University, Changchun 130012, ChinaDepartment of Control Science and Engineering, Jilin University, Changchun 130012, ChinaMagnetic shape memory alloy-based actuators (MSMA-BAs) have extensive applications in the field of micro-nano positioning technology. However, complex hysteresis seriously affects its performance. To describe the hysteresis of MSMA-BA, this study proposes integrating a hysteresis operator and the rate-of-change function of the input signal into the least squares support vector machine (LS-SVM) framework to construct a rate-dependent dynamic hysteresis model for MSMA-BAs. The hysteresis operator converts the multi-valued mapping of hysteresis into a one-to-one mapping, while the rate-of-change function of the input signal captures the rate dependence of the hysteresis, thereby enhancing the model’s ability to describe complex hysteresis. In addition, with the powerful nonlinear fitting capability and good generalization of LS-SVM, the dynamic performance of the proposed model is effectively improved. Experimental results show that the proposed model accurately describes the hysteresis of MSMA-BA.https://www.mdpi.com/2076-0825/14/1/4magnetic shape memory alloy actuatorleast squares support vector machinehysteresisposition tracking control |
| spellingShingle | Mengyao Wang Zhenze Liu Yewei Yu Xiaoning Yang Wei Gao Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator Actuators magnetic shape memory alloy actuator least squares support vector machine hysteresis position tracking control |
| title | Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator |
| title_full | Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator |
| title_fullStr | Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator |
| title_full_unstemmed | Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator |
| title_short | Rate-Dependent Hysteresis Model Based on LS-SVM for Magnetic Shape Memory Alloy Actuator |
| title_sort | rate dependent hysteresis model based on ls svm for magnetic shape memory alloy actuator |
| topic | magnetic shape memory alloy actuator least squares support vector machine hysteresis position tracking control |
| url | https://www.mdpi.com/2076-0825/14/1/4 |
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