Helicopter nonlinear increment adaptive dynamic optimization control method

Abstract

The invention discloses a nonlinear increment self-adaptive dynamic optimization control method for a helicopter. The method comprises the following steps: establishing a helicopter maneuvering flight dynamic mathematical model; establishing an incremental control law model of a helicopter angular rate ring; establishing a control law model of a helicopter attitude ring; establishing an optimal increment control law model of a helicopter speed ring, and completing the design of a helicopter three-ring control model; and based on a helicopter three-ring control model, taking a maneuvering flight dynamic mathematical model as a tracking signal, realizing helicopter non-linear increment adaptive dynamic optimization control, and verifying the trajectory tracking performance of the helicopter. According to the method, a general mathematical description establishment method is provided for a maneuvering flight trajectory, a helicopter overall control law is designed, when a trajectory signal is given, tracking control is carried out on the maneuvering trajectory under the condition that the flight characteristics of the helicopter are met, and a satisfactory control effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of aircraft control, in particular to a nonlinear incremental adaptive dynamic optimization control method for helicopters. Background technique [0002] Compared with fixed-wing aircraft, helicopters have obvious advantages in terms of maneuverability: helicopters can hover for long periods of time, covering flight trajectories such as vertical take-off and landing. The helicopter is capable of flying backwards, sideways and performing extremely agile maneuvers at high and low airspeeds. These characteristics enable helicopters to perform tasks that other aircraft cannot, including military missions typically performed in urban environments, search, rescue, firefighting and transportation. [0003] However, helicopters are highly nonlinear and complex systems that are inherently unstable. This is mainly due to the extreme coupling of the rotor-airframe interaction, which creates various inter-shaft coupli...

AI Technical Summary

Problems solved by technology

In recent years, ADP technology has been successfully applied in the fields of electronic systems, intelligent traffic control and industrial control, but how to combine ADP technology with aerospace applications to solve the problems of aircraft with strong coupling, complex nonlinearity and high dynamic characteristics? The control problem has always been a difficult problem

Although scholars have begun to study IHDP, the system control problems that have been considered and studied are still very limited, and there are still many control problems that have not been considered to be studied.

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