Multivariable Control And Performance Optimization Of Variable Cycle Engine

The geometrical components of the variable cycle engine are adjustable, so it can adapt to different ducted mode of gas dynamic and thermodynamic cycle. As a result, the variable cycle engine has great performance in big flight envelope. Therefore, the research on the control system of variable cycle engine has become a hot research direction in the field of aero engine technology.The teaching-learning-basedoptimization(TLBO) is a recently developed heuristic algorithm based on the natural phenomenon of the teaching-learning process. In TLBO, the initial population can be promoted by the teacher and the students. The algorithm parameters are less, and it is not easy to fall into local optimum. It is found that the teaching learning algorithm is more extensive than the genetic algorithm and can be applied to engineering application.The characteristic of variable cycle engine are analyzed. Through the research of the height characteristics, speed characteristics, rotational speed characteristics and geometry characteristics, the relationship of all variables influence on the performance parameters and the searching range are determined. The teaching learning algorithm is added to the model for better control and simulation research. Multi-objective performance seeking control is conducted for the variable optimization by the optimization in two cycle model of the engine.According to the relationship between the variables and the performance parameters of the variable cycle engine, the appropriate control law is set up, and the control system of the PID control system is used to control the system. The applicability of the control system is verified.