基于灰色模型的自抗扰控制在负荷控制中的应用研究

摘要

The load object of ball mill in thermal power plant has the complex traits with large time-delay, slow time-varying, strongly nonlinear, etc. It is difficult to obtain satisfactory control performance using conventional control methods. In this paper, the active disturbance rejection control method based on gray prediction model was introduced to load control. In this control system, gray prediction model and disturbance rejection were combined, gray prediction model was added to conventional disturbance rejection control, and the parameters of control system were optimized by adaptive genetic algorithm. The simulation results show that the control method has fast response, small overshoot, good robustness, strong anti - interference ability, it can effectively solve the large time-delay, nonlinear and adaptive problems.%火电厂钢球磨煤机的负荷对象具有大滞后、慢时变、强非线性等复杂特性,采用常规控制方法难以获得满意的控制效果,文章提出了基于灰色预测模型的自抗扰负荷控制方法,它把灰色预测模型与自抗扰控制结合起来,在常规的自抗扰控制中加入灰色预测模型的控制方法,并且控制系统的参数采用自适应遗传算法进行优化；仿真结果表明这种控制方法系统响应快、超调小、鲁棒性好、抗干扰能力强,可以有效解决大滞后、非线性及适应性等问题.