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非線性類PID神經元網絡控制器

Nonlinear PID-like neuron network controller

  • 摘要: 研究了基于比例、積分和微分控制分量非線性方法合成的非線性PID智能控制器.該PID控制器將比例、積分和微分控制分量分別用三角函數表示為誤差信號的非線性函數,并通過三個獨立的非線性函數構造合成PID控制器.通過在線調整三個獨立非線性函數的權值系數,使該控制器實現不依賴于非線性對象模型的智能控制.仿真結果表明該控制器具有優異的非線性控制性能.

     

    Abstract: A nonlinear PID-like intelligent controller based on nonlinear proportional, integral and differential components was studied. Firstly the three components are respectively expressed as the trigonometric functions of error signals, and then these three independent nonlinear functions synthesize the intelligent controller. Through online adjusting the weights of the three independent nonlinear functions, the intelligent controller can control nonlinear objects and is independent of the nonlinear object model. Simulation results show that the intelligent controller possesses an excellent non-linear control performance.

     

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