摘要
本文以双闭环系统参数优化方法为例，介绍了一种基于遗传算法的系统在线参数优化方法。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，建立了优化数学模型，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，能切实有效地提高系统性能指标，是一种新的测控方法。
This paper introduce an online systematic parameter optimization method based on genetic algorithm through an example of parameter optimization parameter design of Double hop DC Motor Control System( DLDMCS) Firstly, we set up the experimental system of the DLDMCS. Then, we establish the optimization model with typical performance criteria as abject function and the parameter numerical ranges as the constraints. Finally, a genetic algorithm is used online to adjust and test the parameters of the regulators and find the optimal solution of the parameter design. The method and some techniques that presented in this paper are versatile and may greatly improve the performance of the system. It is a new method of measurement and control
出处
《机电一体化》
2001年第2期22-24,共3页
Mechatronics
