无模型自适应控制的研究.pdfVIP

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无模型自适应控制的研究论文

Subject : The Study of Model Free Adaptive Control Speciality : Control Theory and Control Engineering Name : Wang Junting (Signature) Instructor: Wang Zaiying (Signature) ABSTRACT As we all know that the modern control methords require higher accuracy mathematical model but which is difficult to set up. In order to get ride of the shackles of system mathematical model, the Model Free Control methord comes into being. With a newly introduced pseudo-gradient (or pseudo-Jacobi matrix) and pseudo-order, Model Free Adaptive Control only uses I/O information of control system, can achieve the parameter and structure adaptive. Standard MFAC algorithm can be used for most process. In order to adapt special problems and ensure stability, this paper improved the standard algorithm for lag nonlinear discrete system, proposed improved MFAC algorithm. Explain the linearization method of SISO, MISO, MIMO lag nonlinear discrete system based on tight format, partial format and full format, using dynamic linear time-varying model to replace the gengral one. Design series of MFA controller and introduce rigorous theoretical proof and stability analysis for SISO lag nonlinear discrete system based on tight format, partial format and full format. By compared the simulation and esperimental results of typical process control system with the improved MFAC, standard MFAC and PID algorithm, it shows that the improved MFAC has superior anti-lag, dynamic characteristics and better robustness. Confirmed the new scheme is feasible. Finally, the improved MFAC algorithm is used in boiler feed water control

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