磨机负荷专家控制系统设计及仿真研究

借鉴生物界的免疫反馈原理和遗传算法,利用模糊控制可以有效地实现对非线性、纯滞后、复杂的对象进行控制的优点,并结合PID与自寻优方法,设计出磨机负荷专家控制系统,用VB编写OPC客户端及控制程序,实现对磨机负荷的动态优化控制。试验结果表明,本文提出的控制策略能够很好的跟踪被控对象的参数变化,在存在干扰的情况下也能有较强的自适应能力,能够提高磨机台时产量,并提高矿厂的经济效益。

Mill Load Expert Control System Design and Simulation Research

Learn from the immune feedback principle of biological and genetic algorithm, using the advantages of fuzzy control can effectively achieve control effect to the nonlinear, time delay, and complex object, combined with PID and self-optimizing method to design mill load expert control system, using VB to write OPC client and the control program to realize the dynamic optimization control of the mill load. Test results show that the proposed control strategy can well track the parameter changes of the controlled object and in the presence of interference can also have a strong adaptive ability, at the same time increasing the yield of the mill and to improve the economic efficiency of the mines.