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Iterative learning control algorithm research and its application in wind power control system

Author: ZouRan
Tutor: XuHongBing
School: University of Electronic Science and Technology
Course: Control Theory and Control Engineering
Keywords: Iterative Learning Control Wind power generation control system Open closed loop PD type Engineering applications
CLC: TM614
Type: Master's thesis
Year: 2009
Downloads: 198
Quote: 0
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Abstract


Iterative Learning Control is a strict mathematical description intelligent control branch control for nonlinear systems, unknown model system has a unique advantage, with repeated operational characteristics of the field of CNC machine tools, industrial robots have good application prospects. This algorithm is simple, effective, and in recent years by the attention of researchers from all walks of life, the study includes learning law constitutes convergence, robustness, initial value and learning speed. Iterative learning control for some repetitive motion nature charged object, can completely track on a finite interval. Controlling a controlled system, and the system output and a given trajectory deviation signal to fix the ideal control signals, thereby to generate a new control signal, and tracking is improved. The basic idea is: the nature of the repetitive motion of the charged object, the input information and output error correction term use of iteration, iterative correction control signal. In a given time interval, so that a desired trajectory of a given object can be tracked with arbitrary precision unknown charged. Thesis innovative work is part of the control system for wind power wind energy conversion system, an improved iterative learning control algorithm, the algorithm Iterative Learning Control, the actual output of the system is better able to converge to the system ideal expectations. Further theoretically prove the convergence of the new algorithm, the simulation results are presented and analyzed. The major contents of study are as follows: 1. Outlines the principles of iterative learning control algorithm, the main contents of the study, compared with other control algorithms and study iterative learning control algorithm mathematical knowledge. For the P-type open-loop and closed-loop D-type learning law and open the closed-loop PD-type learning law algorithm design, made the convergence proof given convergence condition. Each basic iterative learning algorithm simulation study, provide one or two instances, Simulation results are given and analyzed the feasibility and effectiveness of the algorithm. For specific engineering background, combined with the previously described iterative learning control algorithm base to improve the existing one iterative learning control algorithm and prove its convergence, wind power control system iterative learning control problems in engineering applications. According to the current Iterative Learning Control Research, discusses the problems of this control method is summarized in its further research direction and outlook.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Variety of power generation > Wind power
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