改进ABC算法的双容水箱液位控制研究

Research on the Liquid Level Control of Double Capacity Water Tank by Improved ABC Algorithm

从提高双容水箱液位控制系统的稳定性和控制精度出发,设计了一种基于改进人工蜂群算法的PID控制调整策略。该策略针对人工蜂群算法全局探测能力不足而易陷入局部最优解的问题,提出将遗传算法的交叉操作引入到人工蜂群算法中,使其可以得到更加精确的PID控制参数。通过仿真分析并与传统的PID控制相比较,结果表明,经过改进的人工蜂群算法优化的PID控制具有静态误差小、调整时间短、超调量小等优点,能很好的满足控制过程的动态性能,具有重要的实用价值。

In order to improve the stability and control accuracy of liquid level control system of double-capacity water tank, a PIDcontrol strategy based on improved artificial bee colony algorithm is designed. Aimed at the problem that the artificial bee colony algorithmis not easy to fall into the local optimal solution because of its poor global exploration ability, this paper proposes to introduce the crossoveroperation of genetic algorithm into the artificial bee colony algorithm so that it can obtain more accurate PID control parameters. Throughsimulation analysis and comparison with the traditional PID control, the results show that the PID control optimized by the improvedartificial bee colony algorithm has the advantages of small static error, short adjustment time and small overshoot, and it can well meet theneeds of the dynamic performance of control process, so it has important practical value.