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Research On Internal Model Control Of Multivariable Systems In Industrial Process

Posted on:2019-08-02Degree:MasterType:Thesis
Country:ChinaCandidate:Z H ZhouFull Text:PDF
GTID:2428330590492257Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
In the actual industrial production process,there are often complicated physical and chemi-cal processes,resulting in uncontrollable system characteristics,such as time delay,disturbance,non-square limitation and so on.The control of complex multivariable system is a practical problem that needs to be solved in the industrial field,and it is also a theoretical problem in the control field.Therefore,it is of both practical and theoretical significance to study the control methods of multivariable systems in industrial processes.In this paper,aiming at the multivariable system in industrial process,the design method of controller based on internal model control theory and its extension in non-square system are deeply studied.The main research results and contributions are summarized as follows:1.In order to solve the problem that H2optimal control method is difficult to be im-plemented in multivariable time-delay systems,the particle swarm optimization method is in-troduced into the design of controller to approximate the complex polynomial.Based on the research of square system,the approximate generalized decoupling object is proposed in this paper,in order to extend the improved method to non-square systems.Simulation results verify the effectiveness of proposed algorithm.2.Through the research on inverted decoupling internal model control,this paper gives the proof process of the controller design formula and the achievable conditions of the control system.Aiming at the disadvantage that the inverted decoupled internal model control method can not be applied to non-square system,this paper presents two design methods of matrix block and virtual channel compensation.The proposed method is applied to the Shell standard problem.Simulation results show that the proposed method has the advantages of both internal model control and inverted decoupling control.3.The mathematical model of thermal power unit is illustrated,which is a time-delay system with two input and two output.The transfer function matrix of coordination control system is obtained by the particle swarm optimization algorithm base on mechanism model,which is used to verify the control strategies proposed in this paper.Simulation results show that stable control of output power and steam pressure can be achieved.
Keywords/Search Tags:multivariable system, internal model control, H2 optimal control, inverted decoupling
PDF Full Text Request
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