Missile-borne electric steering engine rudder deflection angle position tracking method based on BP-PID neural network

Abstract

The invention belongs to the field of missile-borne electric steering engine control, and particularly relates to a missile-borne electric steering engine rudder deflection angle position tracking method based on a BP-PID neural network. A BP neural network algorithm is introduced into a position loop of a missile-borne electric steering engine three-closed-loop control system, a three-layer neural network structure is designed, the reference set value yref (k) of the rudder deflection angle of the electric steering engine, the actual rudder deflection value y (k), the difference value e (k) between the reference set value yref (k) and the actual rudder deflection value y (k) and a constant value 1 serve as the input of the BP-PID neural network algorithm, and the adjustment coefficients KP, KI and KD of a PID controller serve as the output of the algorithm, and the PID coefficient is optimized online and adjusted in real time. According to the invention, the adjustment parameters KP, KI and KD of the PID algorithm are optimized on line by using the strong self-learning ability of the neural network. The tracking effect of the BP-PID neural network algorithm and the tracking effect of the traditional PID algorithm adopted by the missile-borne electric steering engine system are comparatively analyzed, and the superiority of the BP-PID neural network algorithm is finally verified.

Description

technical field [0001] The invention belongs to the field of missile-borne electric steering gear control, in particular to a BP-PID neural network-based method for tracking the rudder deflection angle of the missile-borne electric steering gear. Background technique [0002] With the rapid development of science and technology, there is also fierce competition in national defense. Over the past 20 years, local wars in international hot spots have shown that long-range precision strikes, super-mobile strikes, autonomous strikes, and intelligent damage have become an inevitable trend in the development of guided munitions in the future. In the face of modern warfare, the performance of guided weapons is increasingly demanding. As an important part of the flight control of guided weapons, the steering gear has higher and higher performance requirements. It directly determines the flight process of guided weapons. Dynamic quality. As the main actuator of the modern weapon gui...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a BP-PID neural network-based method for tracking the rudder deflection angle of the missile-borne electric steering gear, so as to solve the problems of low control accuracy and poor anti-interference ability of the traditional PID algorithm for complex nonlinear systems

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