基于遗传算法优化的涡扇发动机三维模糊控制

Three-dimensional fuzzy control for turbofan enginebased on genetic algorithm optimization

关键词:  涡扇发动机  三维模糊控制  遗传算法

Key words:  Turbofan engine  Three-dimension fuzzy control  Genetic algorithm

摘要:

为进一步解决传统二维模糊控制器存在的快速响应与稳定性之间的矛盾,以及提高控制器的响应速度,减小超调,改善稳态性能,设计了一个基本的三维模糊控制系统,在基本控制系统的基础上引入了模糊积分混合控制器,利用改进的遗传算法对模糊规则进行了优化设计,引入了Smith预估补偿器。仿真实验结果表明,所设计的三维模糊控制系统响应速度快、无超调、控制精度高；有效克服了时间延迟的影响；鲁棒性较好,适用于小型涡扇发动机“小偏离”动态模型的控制研究。

Abstract:

The response speed, overshoot and steady-state behavior need to be improved in two-dimensional fuzzy controller.A basic control system was designed with three-dimensional fuzzy controller. A fuzzy-integral mixed controller was designed into the system. The fuzzy rules were optimized by improved genetic algorithm. A Smith compensator was led in the system. The simulation results show that the designed system responds fast, and it has not overshooting and oscillation.The control precision is relatively high. The controller can effectively solve time delay effects. And the control system has great robustness which can be applied to the “little deflection” state of turbofan engine.