Variable cycle engine controller design method based on improved deterministic strategy gradient algorithm

Abstract

The invention belongs to the technical field of aero-engine control, and discloses a variable cycle engine controller design method based on an improved deterministic strategy gradient algorithm. According to the method, a deterministic strategy gradient algorithm is improved by adopting a sample priority playback technology and a target neural network technology, and the algorithm is used as a variable cycle engine multivariable control algorithm. The improved deterministic strategy gradient algorithm can accelerate the training speed of the neural network, ensure the stability of the parameter updating process of the neural network, and realize the combined adjustment of all adjustable parts of the variable cycle engine. The steady-state multivariable controller of the variable cycle engine designed by the invention does not need to perform decoupling control on variables, and has better transportability. The added sample priority playback mechanism is beneficial to improving the sample utilization rate and accelerating the neural network training process, and meanwhile, due to the double Actor-Critic structure design, the real neural network gradient is calculated by utilizing the target neural network, so that the neural network training process is easier to converge.

Description

technical field [0001] The invention belongs to the technical field of aero-engine control, and in particular relates to a design method of a variable-cycle engine controller based on an improved deterministic strategy gradient algorithm. Background technique [0002] The aero-engine provides the power needed for the aircraft to fly and is an essential equipment for the aircraft to perform various flight tasks, while the control system of the aero-engine is an important guarantee for the stable, reliable and safe operation of the engine. Compared with the traditional aero-engine, the variable-cycle engine can change the thermodynamic cycle process of the engine in a wide range by adjusting multiple variable geometric components, and realize the free switching of supersonic, high-thrust, subsonic, and low fuel consumption modes. It can be regarded as a combined device of turbojet engine and fan engine, which integrates the advantages of turbofan and turbojet engine, and is th...

AI Technical Summary

Problems solved by technology

The control system of traditional fuel closed-loop control and geometric mechanism open-loop scheduling cannot meet the control requirements of variable cycle engines, and there are problems such as the need to establish a linear model with small deviations, fewer control variables, and complex controller structures.

Images