New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse
Multimotor drive system is widely applied in industrial control system. Considering the characteristics of multi-input multioutput, nonlinear, strong-coupling, and time-varying delay in two-motor drive systems, this paper proposes a new Smith internal model (SIM) control method, which is based on ne...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/5794087 |
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| _version_ | 1849304818134286336 |
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| author | Guohai Liu Jun Yuan Wenxiang Zhao Yaojie Mi |
| author_facet | Guohai Liu Jun Yuan Wenxiang Zhao Yaojie Mi |
| author_sort | Guohai Liu |
| collection | DOAJ |
| description | Multimotor drive system is widely applied in industrial control system. Considering the characteristics of multi-input multioutput, nonlinear, strong-coupling, and time-varying delay in two-motor drive systems, this paper proposes a new Smith internal model (SIM) control method, which is based on neural network generalized inverse (NNGI). This control strategy adopts the NNGI system to settle the decoupling issue and utilizes the SIM control structure to solve the delay problem. The NNGI method can decouple the original system into several composite pseudolinear subsystems and also complete the pole-zero allocation of subsystems. Furthermore, based on the precise model of pseudolinear system, the proposed SIM control structure is used to compensate the network delay and enhance the interference resisting the ability of the whole system. Both simulation and experimental results are given, verifying that the proposed control strategy can effectively solve the decoupling problem and exhibits the strong robustness to load impact disturbance at various operations. |
| format | Article |
| id | doaj-art-3cb7eec9fffa4a3dbf8bc15e62e3b4d5 |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-3cb7eec9fffa4a3dbf8bc15e62e3b4d52025-08-20T03:55:37ZengWileyJournal of Control Science and Engineering1687-52491687-52572016-01-01201610.1155/2016/57940875794087New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized InverseGuohai Liu0Jun Yuan1Wenxiang Zhao2Yaojie Mi3School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaMultimotor drive system is widely applied in industrial control system. Considering the characteristics of multi-input multioutput, nonlinear, strong-coupling, and time-varying delay in two-motor drive systems, this paper proposes a new Smith internal model (SIM) control method, which is based on neural network generalized inverse (NNGI). This control strategy adopts the NNGI system to settle the decoupling issue and utilizes the SIM control structure to solve the delay problem. The NNGI method can decouple the original system into several composite pseudolinear subsystems and also complete the pole-zero allocation of subsystems. Furthermore, based on the precise model of pseudolinear system, the proposed SIM control structure is used to compensate the network delay and enhance the interference resisting the ability of the whole system. Both simulation and experimental results are given, verifying that the proposed control strategy can effectively solve the decoupling problem and exhibits the strong robustness to load impact disturbance at various operations.http://dx.doi.org/10.1155/2016/5794087 |
| spellingShingle | Guohai Liu Jun Yuan Wenxiang Zhao Yaojie Mi New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse Journal of Control Science and Engineering |
| title | New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse |
| title_full | New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse |
| title_fullStr | New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse |
| title_full_unstemmed | New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse |
| title_short | New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse |
| title_sort | new smith internal model control of two motor drive system based on neural network generalized inverse |
| url | http://dx.doi.org/10.1155/2016/5794087 |
| work_keys_str_mv | AT guohailiu newsmithinternalmodelcontroloftwomotordrivesystembasedonneuralnetworkgeneralizedinverse AT junyuan newsmithinternalmodelcontroloftwomotordrivesystembasedonneuralnetworkgeneralizedinverse AT wenxiangzhao newsmithinternalmodelcontroloftwomotordrivesystembasedonneuralnetworkgeneralizedinverse AT yaojiemi newsmithinternalmodelcontroloftwomotordrivesystembasedonneuralnetworkgeneralizedinverse |