摘要
针对传统的PID控制算法很难获得比较理想的控制效果的问题,提出一种基于BP神经网络的自适应PID控制算法。根据BP神经网络的结构和特点,介绍了改进型BP神经网络算法描述及PID控制器的结构,并通过实例进行仿真分析。结果表明,改进型BP神经网络PID控制器具有良好的控制效果,降低超调量,抗干扰性强和增强系统的鲁棒性,优于常规PID控制器。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed. According to the structure and characteristic of BP neural network, introduces the description of improved BP neural network algorithm and the construction of PID controller, then simulates and analyses by example at last. The simulation shows that improved BP neural network PID controller has good control effect, reduces overshoot, has strong anti-interference and increase system robustness, improved BP neural network PID controller is better than traditional PID controller.
出处
《兵工自动化》
2010年第3期28-30,32,共4页
Ordnance Industry Automation
基金
海军航空工程学院基础科研基金
基于神经网络的自适应PID控制算法研究(HYJC200932)
关键词
PID控制
神经网络
被控对象
非线性系统
仿真
PID control
Neural network
Controlled device
Nonlinear system
Simulation
