摘要
PID控制是工业过程控制中最常用的一种控制方法 ,但当被控对象具有复杂的非线性特性 ,难以建立精确的数学模型 ,且由于对象和环境的不确定性 ,往往难以达到满意的控制效果。作者用神经PID控制方法应用于倒立摆系统 ,克服了常规PID控制的不足 。
The control of PID is the most common controlling method in the industry process control. but when the controlled object has complicated non-linear character, establishing precise mathematics model and attaining the satisfied control result is difficult because of the indetermination of the object and environment. This text uses the Neural network PID control method to the Inverted pendulum system, overcoming the shortcoming that the normal regulations PID control has and obtaining the good control result.
出处
《西华大学学报（自然科学版）》
CAS
2004年第S1期91-94,共4页
Journal of Xihua University:Natural Science Edition
关键词
神经网络
PID控制
倒立摆
neural network
PID control
inverted pendulum
