摘要
针对遗传算法寻优的速度和精度的不足,提出采用混合算法寻优的策略。以GIP-200型二级倒立摆为控制对象进行仿真,仿真结果表明基于混合算法的最优控制器能使系统调节时间更短、精度更高,对二级倒立摆的控制效果更为理想。
For the shortcomings of speed and accuracy of genetic algorithm optimization, a hybrid algorithm is proposed to searching the optimized value. The simulation experiments are performed, which takes GIP-200-type double inverted pendulum as a control object. The simulation results show that the method designed for optimal controller enables the system smaller overshoot, higher precision and the control results to double inverted pendulum more satisfactory.
出处
《自动化应用》
2011年第9期13-16,共4页
Automation Application
关键词
二级倒立摆
LQR
混合算法
遗传算法
最优化
double inverted pendulum
LQR
hybrid algorithm
genetic algorithm
optimization
