非线性类PID神经元网络控制器

Nonlinear PID-like neuron network controller

  • 摘要: 研究了基于比例、积分和微分控制分量非线性方法合成的非线性PID智能控制器.该PID控制器将比例、积分和微分控制分量分别用三角函数表示为误差信号的非线性函数,并通过三个独立的非线性函数构造合成PID控制器.通过在线调整三个独立非线性函数的权值系数,使该控制器实现不依赖于非线性对象模型的智能控制.仿真结果表明该控制器具有优异的非线性控制性能.

     

    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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