Research on Model Predictive Control Based on Sensorless Permanent Magnet Synchronous Motor
For permanent magnet synchronous motor (PMSM) speed control system, aiming at the problems of slow dynamic response and large dependence on system model parameters of traditional PI control of PMSM, the model predictive current control strategy is adopted to design the predictive model. Aiming at th...
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| Veröffentlicht in: | Journal of physics. Conference series 2021-02, Vol.1754 (1), p.12123 |
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| creator | Fan, Shengwen Zhang, Xinsen Tong, Chaonan |
| description | For permanent magnet synchronous motor (PMSM) speed control system, aiming at the problems of slow dynamic response and large dependence on system model parameters of traditional PI control of PMSM, the model predictive current control strategy is adopted to design the predictive model. Aiming at the problems of poor reliability and high cost of traditional permanent magnet synchronous motor with mechanical sensor, the speed sensorless control technology is introduced to design the control structure, and the rotor position and speed are estimated by sliding mode observer method. Through simulation verification, the results show that the combination of the above two control methods can obviously improve the performance of the traditional permanent magnet synchronous motor control system, and has strong robustness under the conditions of motor parameters and load changes. |
| doi_str_mv | 10.1088/1742-6596/1754/1/012123 |
| format | Article |
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Aiming at the problems of poor reliability and high cost of traditional permanent magnet synchronous motor with mechanical sensor, the speed sensorless control technology is introduced to design the control structure, and the rotor position and speed are estimated by sliding mode observer method. Through simulation verification, the results show that the combination of the above two control methods can obviously improve the performance of the traditional permanent magnet synchronous motor control system, and has strong robustness under the conditions of motor parameters and load changes.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1754/1/012123</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Control methods ; Control systems ; Dynamic response ; Magnetism ; Mathematical models ; Model testing ; Parameters ; Permanent magnets ; Physics ; Prediction models ; Predictive control ; Speed control ; Synchronous motors</subject><ispartof>Journal of physics. Conference series, 2021-02, Vol.1754 (1), p.12123</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2021. 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Through simulation verification, the results show that the combination of the above two control methods can obviously improve the performance of the traditional permanent magnet synchronous motor control system, and has strong robustness under the conditions of motor parameters and load changes.</description><subject>Control methods</subject><subject>Control systems</subject><subject>Dynamic response</subject><subject>Magnetism</subject><subject>Mathematical models</subject><subject>Model testing</subject><subject>Parameters</subject><subject>Permanent magnets</subject><subject>Physics</subject><subject>Prediction models</subject><subject>Predictive control</subject><subject>Speed control</subject><subject>Synchronous motors</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkE1LAzEQhoMoWKu_wYDntcnmc49a_IIWi9WTh5DdzNot26QmW6H_3l0qenQuMzDv-87wIHRJyTUlWk-o4nkmRSH7SfAJnRCa05wdodHv5vh31voUnaW0JoT1pUbo_QUS2FitcPB4Hhy0eBHBNVXXfAGeBt_F0OJbm8ANiiX4FGILKeEFxI314Ds8tx8eOrzc-2oVgw-71Cd1IZ6jk9q2CS5--hi93d-9Th-z2fPD0_RmllU5K1hWF4q6OhfKkoJz3b_lSq2Eq6yrASQ4xbWWtpSaC6GYFhJAVXnpuJYlV5yN0dUhdxvD5w5SZ9ZhF31_0uSCMpJTLWWvUgdVFUNKEWqzjc3Gxr2hxAwkzcDIDLzMQNJQcyDZO9nB2YTtX_R_rm8eknVt</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Fan, Shengwen</creator><creator>Zhang, Xinsen</creator><creator>Tong, Chaonan</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20210201</creationdate><title>Research on Model Predictive Control Based on Sensorless Permanent Magnet Synchronous Motor</title><author>Fan, Shengwen ; Zhang, Xinsen ; Tong, Chaonan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2393-f971df257a09448337db875dcadfee6ed74886ab6845573856ee7c2bd486b4743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Control methods</topic><topic>Control systems</topic><topic>Dynamic response</topic><topic>Magnetism</topic><topic>Mathematical models</topic><topic>Model testing</topic><topic>Parameters</topic><topic>Permanent magnets</topic><topic>Physics</topic><topic>Prediction models</topic><topic>Predictive control</topic><topic>Speed control</topic><topic>Synchronous motors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fan, Shengwen</creatorcontrib><creatorcontrib>Zhang, Xinsen</creatorcontrib><creatorcontrib>Tong, Chaonan</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. 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| subjects | Control methods Control systems Dynamic response Magnetism Mathematical models Model testing Parameters Permanent magnets Physics Prediction models Predictive control Speed control Synchronous motors |
| title | Research on Model Predictive Control Based on Sensorless Permanent Magnet Synchronous Motor |
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