Multivariable decoupling control of aeroengine based on QDRNN

Through analysis of QDRNN (quasi-diagonal recurrent neural network) and GMD (gradient decent method), a multivariable decoupling PID (proportional integral, differential) control system based on QDRNN was presented to resolve the complex nonlinear model of aeroengine. The structure and principle of the algorithm were also illustrated through simulation of design points and non-design points. The research results show that, a multivariable decoupling PID control system based on QDRNN is well-suited for decoupling of variables in dual-variable control system.