摘要
以蚁群算法为基础,提出了一种新的具有不完全微分的最优PID控制器的参数优化策略.该策略通过蚁群算法找出系统的3个最优参数,即比例增益KP,积分时间常数TI和微分时间常数TD,针对给定的控制对象,给出了新算法的具体实现步骤.仿真应用表明,这种PID控制器具有很强的灵活性、适应性和鲁棒性.
A new designing method for timal PID controller with incomplete d erlv proposed based on an colony algorithm. the opation is In the method, a group of optimal PID parameters Kp, T1, TD are obtained and for the given system, a detailed realizing process of the new algorithm was alsopresented, the simulation results show that the ACA based PID parameters optimization has excellent flexibility, adaptability and robustness.
出处
《机械与电子》
2007年第12期57-59,共3页
Machinery & Electronics
关键词
PID控制器
蚁群算法
参数优化
PID controller
ant colony algo-rithm
parameters optimization
