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Optimization of Robust PID Controllers of Coordinated Control System Based on Genetic Algorithm

机译:基于遗传算法的协调控制系统鲁棒PID控制器的优化。

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It is proposed a parameter optimization method for a genetic algorithm based multivariable robust PID controller with respect to the boiler-turbine control system of a thermal power plant. By using set point tracking performance as optimization goal and robustness as constraint punishment condition, genetic algorithm can be used to optimize parameters of controllers. It shows from simulation that controllers designed by this paper have better load set point tracking performance compared with PID controllers obtained by reduction of robust H∞ controller and also have good robustness.
机译:针对火力发电厂的汽轮机控制系统,提出了一种基于遗传算法的多变量鲁棒PID控制器参数优化方法。通过将设定点跟踪性能作为优化目标,并将鲁棒性作为约束惩罚条件,可以将遗传算法用于优化控制器参数。从仿真中可以看出,与通过减少鲁棒H∞控制器获得的PID控制器相比,本文设计的控制器具有更好的负载设定点跟踪性能,并且具有良好的鲁棒性。

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