摘要
为了解决锂电池充电系统的不确定性和参数整定困难的问题，本文提出了一种基于蚁群算法优化的模糊＋变论域模糊PID复合控制器的新方法。该控制器在系统波动频繁时，采用模糊控制使其具有最优的动态性能；当系统进入稳定阶段，采用PID参数自适应的变论域模糊控制以提高准确度。而用蚁群算法对PID参数值进行离线优化，并将优化后的值作为在线调节的初值，使系统更加稳定。将提出的复合控制策略应用于锂电池充电控制系统中。仿真结果表明，该系统具有良好的抗干扰性和鲁棒性。
In order to solve the problems of uncertainty and difficult parameters setting in lithium battery charging system, a new method of compound controller on fuzzy ＋ variable universe fuzzy-PID based on ant colony algorithm optimization is proposed in this paper. When the system fluctuates frequently, the fuzzy control mode is adopted for enabling the system to get the optimal dynamic performance; but in the stable phase, the mode of PID parameter adapting variable universe fuzzy control is used for improving the accuracy of the system; moreover, the ant colony algorithm is applied to optimize the PID parameters off-line and further by taking the optimized output values as the initial values of the on-line regulation that makes the system more stable. The proposed compound control strategy is applied to the lithium battery charging control system. The simulation result shows that the system is of well anti- interference ability and robustness.
出处
《自动化信息》
2012年第11期31-33,共3页
Automation Information
关键词
锂电池
蚁群算法
模糊PID控制
变论域
模糊切换
Lithium battery
Ant colony algorithm
Fuzzy-PID control
Variable universe
Fuzzy switching
