基于遗传算法的双闭环直流调速系统在线优化

Online Optimization of Double Closed-Loop DC SR System Based on Genetic Algorithm

本文介绍了一新的双闭环系统参数优化方法。它首先建立了双闭环系统的实验系统,再以典型的性能指标为目标函数、以设计参数的取值范围等为约束条件建立了优化教学模型,最后采用遗传算法在线获取调节调节器的优化参数。所提出的方法和技术具有普遍性,能确实有效地提高了系统性能指标,可为其他控制系统的优化控制所采用。

This paper introduces a new parameter optimization method for Double loop DC Motor Control System (DLDMCS).At first, we set up an experimental system of DLDMCS. Then, we establish an optimization model with typical performance criteria as target function and parameter numerical range as constraints,Finally, a genetic algorithm is used to obtain the optimized parameters of the regulator online. The method and the technique presented in the paper is universal and may greatly improve the performances of the system. Thus it can be used in many other optimization designs of control systems.