论文部分内容阅读
为提高微粒群算法的搜索性能,提出一种基于Logistic方程的退火微粒群算法优化自动电压调节器(AVR)系统的PID参数。在微粒群算法的基础上,对部分较优微粒进行退火操作。在退火操作中,结合Logistic方程的特点,设计了一种新的错位调整方式,对当前已知最优区域重点搜索。该方法能有效改善微粒群算法易于陷入局部极值的缺点,提高算法精度。将采用该方法的PID控制器应用于实际AVR系统,计算结果表明该PID控制器可以获得较好的控制性能指标,具有一定的实用价值。
In order to improve the search performance of particle swarm optimization algorithm, an annealing particle swarm optimization algorithm based on Logistic equation is proposed to optimize PID parameters of automatic voltage regulator (AVR) system. On the basis of Particle Swarm Optimization, some of the optimal particles are annealed. In annealing operation, combined with the characteristics of Logistic equation, a new misalignment adjustment method is designed to search for the key points in the best known region. The method can effectively improve the particle swarm algorithm easy to fall into the local extreme shortcomings, improve the accuracy of the algorithm. The PID controller adopting this method is applied to the actual AVR system. The calculation results show that the PID controller can obtain better control performance index and has certain practical value.