In this paper, an inverted pendulum and double inverted pendulum system as the experimental platform, pole for pole configuration is not easy to find, LQR control weight and to be difficult to determine the control of the transformation from qualitative to quantitative bottlenecks, genetic algorithm controller parameter optimization, on the one hand make full use of their advantages to jointly improve the performance of the controller, on the other hand will be from the laborious trial and error testing in earnest.

基于遗传算法的倒立摆控制策略研究.kdh

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