蚁群算法PID控制器在磨机给矿控制中的应用

Application of PID Controller Based on Ant Colony Algorithm in Grinding Mill Feed Control

摘要:

磨矿过程是选矿生产中的关键环节,而其中磨机负荷是磨矿过程的一个重要参数,它与生产效率和能源消耗有密切的关系；针对选矿厂球磨机运行过程具有非线性、大滞后性和时变性的特点,常规PID控制难以得到预期的控制效果；蚁群算法是一种新兴的仿生优化算法,具有较强的鲁棒性和良好的分布式计算机制,易于与PID方法相结合；因此提出了一种基于蚁群算法的PID参数优化的控制算法,实现对球磨机给矿的稳定控制,优化后的控制器与传统PID控制相比,有较好的动态和静态性能；仿真应用结果表明,该方法的实用性和有效性,超调量减少近50%,能够使磨机的给矿控制更加稳定。

Abstract:

Grinding is the key link in the production of mineral processing, and mill load is an important parameter in the process of grinding, it is closely related to production efficiency and energy consumption. According to the characteristics of ball process with nonlinear, larger time-delay and time-varying, conventional PID control is difficult to obtain the expected control effect. Ant colony algorithm is a new bionic optimization algorithm, has strong robustness and good mechanism of distributed computing, easy to be combined with PID method. So this article puts forward PID parameter optimization based on ant colony algorithm, realize the stable control of ball mill for ore, the optimized control compared with traditional PID control, has better dynamic and static performance. Simulation results show that the method is practical and effective.