Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Bacterial Foraging Oriented by Particle Swarm Optimization
PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is a very difficult problem. Based on Matlab/simulink software and taking...
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creator | Zhaoguo Chen Youxin Luo Yuehua Cai |
description | PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is a very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method with bacterial foraging oriented by particle swarm optimization was applied for the optimization of the three parameters of PDD controller of electric-hydraulic servo system of parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance. |
doi_str_mv | 10.1109/ICIECS.2009.5363433 |
format | Conference Proceeding |
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The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is a very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method with bacterial foraging oriented by particle swarm optimization was applied for the optimization of the three parameters of PDD controller of electric-hydraulic servo system of parallel platform. 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Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.</description><subject>Automatic control</subject><subject>Control systems</subject><subject>Design optimization</subject><subject>Microorganisms</subject><subject>Optimal control</subject><subject>Particle swarm optimization</subject><subject>Servomechanisms</subject><subject>Servosystems</subject><subject>Three-term control</subject><subject>Tuning</subject><issn>2156-7379</issn><issn>2156-7387</issn><isbn>9781424449941</isbn><isbn>1424449944</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNkM1OAjEAhBuVRESegEtfYLHddrvtUVaRTUggWe6kv6Rmf0i3atZ38J2FSIinOXwzk8kAMMNojjEST2VRvhbVPEVIzDPCCCXkBoxTnLEkJzy_BVORc0xTSqkQFN9dWS5G4OEcE4ixnN-Dad-_I4Rwylkq0jH42Ryjb_y3jL5roesC3JYvsOjaGLoabmWQjY029PBEV4MJ8qP2GlY2fHZXVzX00TZwIXtrzr6F1KeIlzVcdkEefHuAm-BtG09YDefS6HVtYfUlQwP_D3gEIyfr3k4vOgG75euuWCXrzVtZPK8TL1BMXG40pUqkyDChpcI8czhnTDljrdEMI82UJlJLbhQzyrFMc66oFg47YzSZgNlfrbfW7o_BNzIM-8ux5BecRGzw</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Zhaoguo Chen</creator><creator>Youxin Luo</creator><creator>Yuehua Cai</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Bacterial Foraging Oriented by Particle Swarm Optimization</title><author>Zhaoguo Chen ; Youxin Luo ; Yuehua Cai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f7dc44b920d69cab185f1766bfdeedc610c6bc3aca8db6dbf65c88b4c9f1fddc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Automatic control</topic><topic>Control systems</topic><topic>Design optimization</topic><topic>Microorganisms</topic><topic>Optimal control</topic><topic>Particle swarm optimization</topic><topic>Servomechanisms</topic><topic>Servosystems</topic><topic>Three-term control</topic><topic>Tuning</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhaoguo Chen</creatorcontrib><creatorcontrib>Youxin Luo</creatorcontrib><creatorcontrib>Yuehua Cai</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhaoguo Chen</au><au>Youxin Luo</au><au>Yuehua Cai</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Bacterial Foraging Oriented by Particle Swarm Optimization</atitle><btitle>2009 International Conference on Information Engineering and Computer Science</btitle><stitle>ICIECS</stitle><date>2009-12</date><risdate>2009</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2156-7379</issn><eissn>2156-7387</eissn><isbn>9781424449941</isbn><isbn>1424449944</isbn><abstract>PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is a very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method with bacterial foraging oriented by particle swarm optimization was applied for the optimization of the three parameters of PDD controller of electric-hydraulic servo system of parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.</abstract><pub>IEEE</pub><doi>10.1109/ICIECS.2009.5363433</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Automatic control Control systems Design optimization Microorganisms Optimal control Particle swarm optimization Servomechanisms Servosystems Three-term control Tuning |
title | Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Bacterial Foraging Oriented by Particle Swarm Optimization |
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