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A PID Parameters Tuning Algorithm Inspired by the Small World Phenomenon

机译:小世界现象启发的PID参数整定算法

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摘要

Based on the small world phenomenon in social networks, a local search operator and a random long-range search operator with decimal-coding are proposed, then a decimal-coding small world optimization algorithm (DSWA) is explored, which validity and feasibility are testified by the simulation of PID parameters tuning. Compared with the corresponding genetic algorithm (GA) and particle swarm optimization algorithm (PSO), the simulation results indicate that DSWA can avoid trapping to local optimum in a certain extend, and it also can find high quality parameters for PID controller.
机译:基于社交网络中的小世界现象,提出了一种带有十进制编码的本地搜索算子和一个随机的远程搜索算子,然后探索了一种十进制编码的小世界优化算法(DSWA),验证了其有效性和可行性。通过仿真PID参数进行整定。仿真结果表明,与相应的遗传算法(GA)和粒子群优化算法(PSO)相比,DSWA可以在一定程度上避免陷入局部最优,并且可以找到PID控制器的高质量参数。

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