A Design of Nonlinear Adaptive PID Controller Based on Genetic Algorithm
The relationship between the error signal and gain parameters of PID controller is nonlinear, so fitting and constructing the nonlinear of each parameter can be used respectively for the individual tuning each part of PID controller. In this paper, it is described that based on the tuning law betwee...
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| creator | Wei-Min Qi Wei-You Cai Qiao-ling Ji Yuan-Chu Cheng |
| description | The relationship between the error signal and gain parameters of PID controller is nonlinear, so fitting and constructing the nonlinear of each parameter can be used respectively for the individual tuning each part of PID controller. In this paper, it is described that based on the tuning law between the control and error, with formulating the nonlinear function of each gain parameter, the nonlinear PID controller could be optimized and constructed by adopting genetic algorithm. The simulate results of typical system shows that the dynamic and static performances of the system can be both attended to at a satisfied degree. |
| doi_str_mv | 10.1109/CHICC.2006.280846 |
| format | Conference Proceeding |
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The simulate results of typical system shows that the dynamic and static performances of the system can be both attended to at a satisfied degree.</description><subject>Adaptive control</subject><subject>Algorithm design and analysis</subject><subject>Control systems</subject><subject>Error correction</subject><subject>genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Nonlinear control systems</subject><subject>nonlinear function</subject><subject>Pi control</subject><subject>PID controller</subject><subject>Programmable control</subject><subject>Proportional control</subject><subject>Three-term control</subject><issn>1934-1768</issn><issn>2161-2927</issn><isbn>9787810778022</isbn><isbn>7810778021</isbn><isbn>7900669884</isbn><isbn>9787900669889</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzE1OwzAQQGHzJ1FKD4DY-AIp44ljzyxDgLZSBSy6r5xkUozSpEoiJG4PEqyevs1T6s7A0hjgh2K9KYolArglEpB1Z-rG8y8dE9lzNUPjTIKM_kIt2JMnA94TIF6qmeHUJsY7ulaLcfwEAMPOW8SZWuf6ScZ46HTf6Ne-a2MnYdB5HU5T_BL9vnnSRd9NQ9-2MujHMEqt-06vpJMpVjpvD_0Qp4_jrbpqQjvK4r9ztXt53hXrZPu22hT5NokMUyJl6SsoUxZwGVeegy1FMnRZILA1NuygMdQIp3UJCEQSSp9RJlBLjVU6V_d_2ygi-9MQj2H43ltwkLJNfwDiHVAl</recordid><startdate>200608</startdate><enddate>200608</enddate><creator>Wei-Min Qi</creator><creator>Wei-You Cai</creator><creator>Qiao-ling Ji</creator><creator>Yuan-Chu Cheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200608</creationdate><title>A Design of Nonlinear Adaptive PID Controller Based on Genetic Algorithm</title><author>Wei-Min Qi ; Wei-You Cai ; Qiao-ling Ji ; Yuan-Chu Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ebb7c0b39e0659c79a4bee5265a804d2f960f18fe93db02088eab7585e0ded2c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adaptive control</topic><topic>Algorithm design and analysis</topic><topic>Control systems</topic><topic>Error correction</topic><topic>genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Nonlinear control systems</topic><topic>nonlinear function</topic><topic>Pi control</topic><topic>PID controller</topic><topic>Programmable control</topic><topic>Proportional control</topic><topic>Three-term control</topic><toplevel>online_resources</toplevel><creatorcontrib>Wei-Min Qi</creatorcontrib><creatorcontrib>Wei-You Cai</creatorcontrib><creatorcontrib>Qiao-ling Ji</creatorcontrib><creatorcontrib>Yuan-Chu Cheng</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>Wei-Min Qi</au><au>Wei-You Cai</au><au>Qiao-ling Ji</au><au>Yuan-Chu Cheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Design of Nonlinear Adaptive PID Controller Based on Genetic Algorithm</atitle><btitle>2006 Chinese Control Conference</btitle><stitle>CHICC</stitle><date>2006-08</date><risdate>2006</risdate><spage>175</spage><epage>178</epage><pages>175-178</pages><issn>1934-1768</issn><eissn>2161-2927</eissn><isbn>9787810778022</isbn><isbn>7810778021</isbn><eisbn>7900669884</eisbn><eisbn>9787900669889</eisbn><abstract>The relationship between the error signal and gain parameters of PID controller is nonlinear, so fitting and constructing the nonlinear of each parameter can be used respectively for the individual tuning each part of PID controller. In this paper, it is described that based on the tuning law between the control and error, with formulating the nonlinear function of each gain parameter, the nonlinear PID controller could be optimized and constructed by adopting genetic algorithm. The simulate results of typical system shows that the dynamic and static performances of the system can be both attended to at a satisfied degree.</abstract><pub>IEEE</pub><doi>10.1109/CHICC.2006.280846</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive control Algorithm design and analysis Control systems Error correction genetic algorithm Genetic algorithms Nonlinear control systems nonlinear function Pi control PID controller Programmable control Proportional control Three-term control |
| title | A Design of Nonlinear Adaptive PID Controller Based on Genetic Algorithm |
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