【摘要】 针对非线性系统,采用了基于径向基函数(RBF)神经网络的PID整定,用遗传算法优化RBF神经网络.仿真结果表明,基于遗传算法优化的RBF神经网络PID整定收敛速度快,整定效果优于基于梯度下降法优化的RBF神经网络PID整定.更多还原

【Abstract】 To nonlinear system, a PID control system based on RBF Identification is used, and genetic algorithms (GA) are used to optimize RBF neural networks. The simulation results show that GA converge quite quickly, the controller effects of PID control which is based on RBF identification optimized by GA are better than those of PID control which is based on RBF identification optimized by the adaptive grads-dropping algorithms.更多还原