An Nonlinear Adaptive Control Algorithm Based on BP Neural Network

作者：Liu Di^*; Wang Zhen; Zhang Kai; Li Jian Hai

来源：3rd Joint International Conference on Modelling and Simulation/3rd International Conference on Information and Computing Science, 2010-06-04 to 2010-06-06.

• adaptive PID control algorithm
• Model of parameter
• Neural network

In this paper, an nonlinear adaptive control algorithm based on BP neural network is applied to build the parameter model of the system, takes the controlled plant's mathematical model's control quantity and model output as the input of the neural network model. This method does not need to distinguish the system order. Identification structure is simple. The accuracy is high. BP neural network is applied to build the prameter model of the system and it change rule of time varied parameter of linear system into neural network parameter model. The results of experimant verified the effectiveness of our proposed nonlinear adaptive control algorithm based on BP neural network by computer simulation.

• 出版日期2010
• 单位中国人民解放军海军航空工程学院