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《Computer Simulation》 2009-04
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Design and Optimization of Nonlinear Fuzzy Immune PID for MIMO System

SITU Ying1,TIAN Lian-fang2,MAO Zong-yuan2 (1.Department of Automation,Maoming College,Maoming Guangdong 525000,China; 2. Department of Automation,South China University of Techlonogy,Guangzhou Guangdong 510641,China)  
A nonlinear fuzzy immune PID control method is presented to solve the control difficulties of industry process.Based on orthogonality function,the nonlinear fuzzy immune PID design process for MIMO system is turned into a simple algorithm which only includes algebraic equation,and then optimized.This method has good control performance and obtains the best parameter faster than conventional PID control.On the other hand,the process of the design and optimization of this controller is simpler and more effective.
【Fund】: 广东省科技厅科技攻关项目(2005B10201006)
【CateGory Index】: TP273.4
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【Citations】
Chinese Journal Full-text Database 5 Hits
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【Co-citations】
Chinese Journal Full-text Database 5 Hits
1 ZHANG Jian-qiu1,REN Wei-jian1,WU Wen-bin2(1.College of Electric and Information Engineering,Daqing Petroleum Institute,Daqing,Heilongjiang 163318,China;2.Dezhou Compression Technology Sub-company,Dezhou,Shandong 253020,China);Immune control system on the double level plant[J];Journal of Daqing Petroleum Institute;2009-01
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