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Study on Control Method Based on Inverted Pendulum System

Author: WuShanYong
Tutor: GuoRunQiu
School: Xi'an University of Electronic Science and Technology
Course: Control Theory and Control Engineering
Keywords: Inverted pendulum Fuzzy Control Neural Networks Fusion function
CLC: TP13
Type: Master's thesis
Year: 2009
Downloads: 288
Quote: 4
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Abstract


Inverted pendulum is a typical fast , multi- variable , non-linear , strong coupling naturally unstable system . To reflect in the control process control theory of many key issues , such as the stabilization problem of nonlinear problems , robustness and tracking problem . The inverted pendulum system has far-reaching significance in the theory and engineering applications , research results have been applied to many other areas of aerospace technology and robotics . The papers around one , two inverted pendulum system , soft computing , fuzzy control , neural networks , including mutual integration between them made ??a more systematic discussion of the inverted pendulum system intelligent control algorithm . Method for optimal control of double inverted pendulum using an inverted pendulum using the learning ability of the neural network training membership function of the fuzzy controller , a fuzzy controller to control the inverted pendulum system by adaptive neural fuzzy inference system ; the design combines functions to reduce the dimension of the fuzzy controller input variables , successfully resolved the problem of rule explosion \Finally, a kind of inverted pendulum system control programming , and achieved satisfactory control effect . The control results show that the combination of integrated intelligent control algorithm , comprehensive lessons two algorithms and the advantages and disadvantages of both cancel each other .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Automatic control theory
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