摘要
刨花板热压控制系统存在着迟滞、非线性、时变性以及模型参数的不确定性,针对此问题,提出了基于遗传算法的自适应PID智能控制策略,通过自适应控制与遗传算法相结合,实现对PID参数的在线自整定,使其具有更大的灵活性和适应性,完善了PID控制器的性能。在Matlab7.0环境下进行仿真,结果表明:与常规PID控制器相比较,该控制器明显地提高了热压位置伺服控制系统的动态性能和静态性能,抗干扰的能力也明显增强,兼具更好的鲁棒性能。
For the problems of hot pressing control in particleboard control system such as non-linear characteristic, pure delay and time varying, an adaptive Genetic Algorithm PID control strategy is put forward based on the theories of on-line Genetic. Algorithm Parameter optimization, adaptive control and PID control. The system is realized with on-line self-control of PID parameters, which （ouhl improve the performance of PID controller, and the accuracy of the system. Under the Matlab7.0 simulation environment, the results indicate that the controller can obviously improve the dynamic pertbrmanee and stability of the hot pressing control system compared with the traditional PID controller. Besides. the proposed controller has better robustness performance.
出处
《森林工程》
2013年第2期54-57,共4页
Forest Engineering
基金
中央高校基本科研业务费专项资金(DL12EB04-02)
哈尔滨市科技创新人才研究专项资金(2010RFQXN094)
关键词
刨花板
自适应PID
遗传算法
热压机
位置伺服控制
particleboard
adaptive PID
Genetic Algorithm
hot pressing machine
position servo-control
