模糊自适应预测控制在航空发动机中的应用研究

对于航空发动机这样复杂的系统,其数学模型具有较大的不确定性,而模糊控制对于解决模型不确定性问题具有较好的优势,运用模糊控制理论就具有较好的实践意义。而且,航空发动机在实际运行中存在诸多可测与不可测的扰动,将模糊建模技术与预测控制算法相结合,采用输出误差反馈启发校正的方法,有效地降低了系统设计与实现的复杂性,提高了系统的实时性,并使得该算法的模糊预测控制在鲁棒性、动态性能等方面皆优于常规PID控制。最后,通过数字仿真,对比了经典PID控制和运用模糊自适应预测控制。仿真结果表明,文中所采用的方法有较好的效果,其证明了该方法在航空发动机控制中应用的可能性。

The application of fuzzy self-learning predictive control in aero-engine

The aircraft engine is a complicated nonlinear systems.It's math model is not easy to figure out.This problem can be solved on the basis of the fuzzy self-learning control theory.Fuzzy control theory have a lot of predominance in some questions which can not figure out there model exactly.A fuzzy adaptive predictive control scheme,combining fuzzy modeling and the feed back of output is presented.The integrated flight/propulsion control system of a new fighter and its new trubofan engine are studied in this paper.Two control method of fuzzy control and self-learning control was combined in this paper which was used to the predictive scheme.In this method,the system of aero-engine came to easy to design and application,and also improves its real time performance.Finally,the method was tested viable by the simulation.The simulation results indicate that the designed integrated controller has good performances and is better than PID in robust and dynamic performance.