Particle Swarm Optimization-Based Fuzzy PID Controller for Stable Control of Active Magnetic Bearing System
In this paper, the application of particle swarm optimization (PSO) algorithm based fuzzy PID control for the stable control of an active magnetic bearing (AMB) system is studied. Active magnetic bearings are known to be highly nonlinear multivariable systems. An AMB system is used in motors, turbin...
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| Veröffentlicht in: | Journal of physics. Conference series 2021-04, Vol.1888 (1), p.12022 |
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| creator | Bo, Wang Haipeng, Geng Hao, Li Wei, Zheng |
| description | In this paper, the application of particle swarm optimization (PSO) algorithm based fuzzy PID control for the stable control of an active magnetic bearing (AMB) system is studied. Active magnetic bearings are known to be highly nonlinear multivariable systems. An AMB system is used in motors, turbines and various other machineries in different industries to provide an active suspension to the rotor shafts. The heuristic PSO algorithm is applied to optimize the parameters of the PID controller offline. The fuzzy PID controller based on PSO algorithm is designed to adjust the control parameters of AMB system online. The comparison of controlled responses of closed-loop systems resulting from the use of conventional PID, Incomplete differential PID and particle swarm optimization-based fuzzy logic PID control strategies is discussed. The proposed controller performance is superior as compared to PID and incomplete differential PID controllers in improving the system response of an AMB under normal conditions as well as under external disturbances. |
| doi_str_mv | 10.1088/1742-6596/1888/1/012022 |
| format | Article |
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The proposed controller performance is superior as compared to PID and incomplete differential PID controllers in improving the system response of an AMB under normal conditions as well as under external disturbances.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1888/1/012022</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Active control ; Algorithms ; Control systems ; Controllers ; Feedback control ; Fuzzy control ; Fuzzy logic ; Magnetic bearings ; Nonlinear systems ; Optimization ; Parameters ; Particle swarm optimization ; Physics ; Proportional integral derivative ; Turbines</subject><ispartof>Journal of physics. Conference series, 2021-04, Vol.1888 (1), p.12022</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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The proposed controller performance is superior as compared to PID and incomplete differential PID controllers in improving the system response of an AMB under normal conditions as well as under external disturbances.</description><subject>Active control</subject><subject>Algorithms</subject><subject>Control systems</subject><subject>Controllers</subject><subject>Feedback control</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Magnetic bearings</subject><subject>Nonlinear systems</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Particle swarm optimization</subject><subject>Physics</subject><subject>Proportional integral derivative</subject><subject>Turbines</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNo9kF1PwjAUhhujiYj-Bpt4PWm77usSUJQEAwl63Ry2UzLc1tkWDfx6t0A4N-f7PTkPIY-cPXOWpiOeSBHEURaPeNqnI8YFE-KKDC6d60ucprfkzrkdY2FnyYB8r8D6Mq-Qrv_A1nTZ-rIuj-BL0wQTcFjQ2f54PNDV_IVOTeOtqSq0VBtL1x423eK5So2m49yXv0g_YNtgp0onCLZstnR9cB7re3KjoXL4cPZD8jV7_Zy-B4vl23w6XgS5kJkIIEp5nGoR6UQzmUGBErJCijCGYpOxBBKUKAsdhSGLBReYF2FWYPdbDnIDPBySp5Nua83PHp1XO7O3TXdSiUjwmDPOsm4qOU3l1jhnUavWljXYg-JM9WRVz0z1_FRPVnF1Ihv-Azf1bGE</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Bo, Wang</creator><creator>Haipeng, Geng</creator><creator>Hao, Li</creator><creator>Wei, Zheng</creator><general>IOP Publishing</general><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>20210401</creationdate><title>Particle Swarm Optimization-Based Fuzzy PID Controller for Stable Control of Active Magnetic Bearing System</title><author>Bo, Wang ; Haipeng, Geng ; Hao, Li ; Wei, Zheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2492-a58168f25f7f049ade4a9d4236adb907a7e4e4df53306212ecd39de588ca4ba13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Active control</topic><topic>Algorithms</topic><topic>Control systems</topic><topic>Controllers</topic><topic>Feedback control</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Magnetic bearings</topic><topic>Nonlinear systems</topic><topic>Optimization</topic><topic>Parameters</topic><topic>Particle swarm optimization</topic><topic>Physics</topic><topic>Proportional integral derivative</topic><topic>Turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bo, Wang</creatorcontrib><creatorcontrib>Haipeng, Geng</creatorcontrib><creatorcontrib>Hao, Li</creatorcontrib><creatorcontrib>Wei, Zheng</creatorcontrib><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>Publicly Available Content Database</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 | Active control Algorithms Control systems Controllers Feedback control Fuzzy control Fuzzy logic Magnetic bearings Nonlinear systems Optimization Parameters Particle swarm optimization Physics Proportional integral derivative Turbines |
| title | Particle Swarm Optimization-Based Fuzzy PID Controller for Stable Control of Active Magnetic Bearing System |
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