改进蚁群算法在盘磨进退刀控制中的应用

Application of Improved Ant Colony Algorithm in the Cutter Control of Disc Refiner

关键词:  盘磨进退刀控制  PID控制  改进蚁群算法  MATLAB仿真

Key Words:the cutter control of refiner  PID control  improved ant colony algorithm  MATLAB simulation

摘要:在制浆过程中，盘磨进退刀控制直接影响着纸浆的质量。PID控制算法因其结构简单、易实现等优点而被广泛应用于造纸工业中。然而，PID参数不易整定且易产生超调和震荡，这会导致在盘磨进退刀控制中出现碰刀问题，使盘磨磨片遭到磨损，进而影响纸浆正常生产。本课题在基本蚁群算法基础上提出了一种改进蚁群算法并将其用于PID参数整定。MATLAB仿真结果表明，该方法可以快速、准确地找到最佳的PID固定参数，解决了传统PID整定方法过分依赖人工经验、耗时长等问题。

Abstract:In the process of pulping, the cutter control of disc refiner affects the quality of the pulp directly.PID control algorithm is widely used in paper industry because of its characteristics of simple structure and easy to implement. But PID parameter is difficult to set and easy to produce super harmonic and oscillation, which could often cause knife collision problem in disc cutter control, making the disc plate to wear, then influence the normal production of pulp. Based on the basic ant colony algorithm, this paper presented an improved ant colony algorithm and used it to set the PID parameters, this method overcomed the problem of over reliance on artificial experience and time consuming.MATLAB simulation results showed that the method could find the optimal control parameters quickly and accurately．