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The Simulation Research On Multivariable Internal Model Control Algorithm

Posted on:2009-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:F QiFull Text:PDF
GTID:2178360245474888Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In reality,many chemical process is a complex multivariable instability, and time-delay system,and there is greater coupling,while the traditional method of PID control can not be solved.In this paper,the all-pole similarity is proposed for the time-delay of IMC-PID system,and we study typical multi-variable systems for the chemical process study and propose two design methods which based on the v-norm decoupling of the new multi-variable IMC design and optimization.NLJ optimization algorithm has been used in this two IMC method.For fat systems,two kinds of IMC design methods have been proposed:main manipulated variable method and generalized inverse method.As follows:1.The all-pole similarity is proposed for the time-delay of IMC-PID system,put into internal model control for the first time,applied to IMC-PID of the transformation process,and derived from the IMC-PID control parameters calculated General formula to facilitate the realization of simulation programming.The simulation results show that the entire pole approximation method similar to the high level of effective systems of control and still has strong robustness. 2.It is proposed two methods of v-norm decoupling multi-variable IMC design:multi-variable v-norm decoupling IMC design and multi-variable IMC design with v-norm decoupling system.They were carried out systematic analysis of decoupling,derived from IMC controller in detail,and calculate the general formula of controller.The different v-norm IMC-PID controller can be got.So formed a relatively complete set of analysis and control design of the system3.NLJ optimization algorithm has been used in this two IMC method, and improves a comprehensive tracking features and decoupling of ITAE optimal as the goal for the filter parameters optimization.And put them into simulation.The results are good,which haveconfirmed these two design methods very good versatility and the optimized algorithm validity.4.For the non-square systems,two kinds of IMC design methods have been proposed:main manipulated variable method and generalized inverse method.The simulation results show that effective control.This article was the first multi-variable system of the IMC-PID design research,and gives the feasibility of methods,which is an innovative.
Keywords/Search Tags:internal model control, multivariable systems, decoupling control, time delays, NLJ optimization
PDF Full Text Request
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