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PID Parameters Auto-tuning And Application Based On Biological Optimization Algorithm

Posted on:2013-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:W F HuangFull Text:PDF
GTID:2248330362475447Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
PID is the most widely used controller in the industrial production. Simple structure, goodcontrol performance and low prices are its obvious advantages. With the rapid development ofscience and technology and the expansion of production scale, higher performance productionequipments are required for the industrial production. The traditional PID control often can notachieve the prospective effect for the time-delay, time-varying and nonlinear systems. Manyresearch scholars proposed some new method for these problems.Firstly, this paper makes a simple comparison during the different bio-inspired algorithms ontheir optimization performances, and finally chooses the BFO (bacterial foraging optimization).The new intelligent control method based on BFO is a distributed optimal control that has a betterrobustness. This paper makes a detailed analysis and improves for BFO in the third chapter. Someclassic functions are used to do performance testing for IBFO (Improved BFO), and the simulationresults shows that IBFO has a good performance for optimization.Because of its better optimization performance IBFO is used to tune PID parameters. In thefourth and fifth chapters, the IBFO implements the intelligent control of time-delay and time-varying systems, and achieved a better result. In the last chapter, IBFO is used to do parameterestimation of Wiener model. From the effect of parameter estimation IBFO has a good applicationvalue in identification. At the same time, the identification of Wiener can give a well model for thenonlinear control of intelligent PID.In short, the intelligent PID control and the parameter estimation of nonlinear based on IBFO notonly solve the traditional PID limitations, but also easier to implement online control, the controlaccuracy and performance has also been further improved. Meanwhile the application of BFO hasalso been further extended. The time-delay, time-varying and Wiener model in this paper arewidely used in DC motor speed control, servo drive current regulator, pulse combustion furnace,CNC milling machine drive system, pumping unit stimulus response, central air-conditioning fanspeed control, the sour alkali neutralizes reaction and so on. Therefore, research on these modelsand control has great significance.
Keywords/Search Tags:PID, BFO, parameter estimation, time-delay, time-varying, nonlinear
PDF Full Text Request
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