基于预测控制的动态配料系统非线性误差研究

Research on Nonlinear Error in Dynamic Batching System Based on Predictive Control

对混凝土搅拌站动态配料系统的非线性误差的控制过程进行了分析,在系统动态称重配料过程的误差控制中引入预测控制算法.通过多次调试修改,该系统的配料精度和速度都达到要求,整个系统的效率也得到了提高.Matlab仿真表明:预测控制是对操作员经验的模拟,在模型匹配时性能良好,表现出鲁棒性强、超调量小的特点,便于在工业控制领域推广应用.

To reduce the error of the weight in dynamic blending system for producing concrete, and to reduce the affect of nonlinear action of the adjustor,the predictive control algorithm is designed. A set of optical parameters are tried out,and the system acquires satisfied speed and limited error. Simulated results based on Matlab prove that the algorithm, which simulates the experience of the operators, shows better performance when the control model matches the object, and robustness and small overshoot, thus this will make it easy for industrial application.