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Small unmanned helicopter fixed-height control method based on reinforcement learning

An unmanned helicopter and enhanced learning technology, which is applied in the field of intelligent control of indoor small unmanned helicopter altitude control, can solve the problems of flight altitude change, general control effect, and drift interference in the stable state of the fuselage, and achieve the effect of improving control accuracy

Inactive Publication Date: 2019-08-02
TIANJIN UNIV
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Problems solved by technology

Second, in the dynamic process when the pitch angle tends to be stable, when the average value of the change in the inclination angle of the navigation track is not zero, it will also cause a change in the flight altitude
Third, when the helicopter is at a fixed height, since the main rotor itself can generate a large air flow, it will cause a large drift disturbance to the stable state of the fuselage
Fifth, from the analysis of control operability, although the flight height can be controlled by controlling the elevator or the thrust of the engine, the inertia of controlling the flight height by controlling the thrust is very large and the response is slow
Although this method can achieve stable control of the system, it has no constraints on the speed and accuracy of error convergence, and the control effect is relatively general.

Method used

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  • Small unmanned helicopter fixed-height control method based on reinforcement learning
  • Small unmanned helicopter fixed-height control method based on reinforcement learning
  • Small unmanned helicopter fixed-height control method based on reinforcement learning

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Embodiment Construction

[0039]In the existing reinforcement learning control cases, the controlled objects are mostly medium-sized helicopters, and most of them are controlled outdoors. The present invention aims to provide a continuous control method based on off-line reinforcement learning to realize the fixed-altitude flight of a small unmanned helicopter in an indoor positioning environment under the condition of external disturbance. The technical scheme adopted by the present invention is to first construct a helicopter model and a reward function based on a Markov sequence, then use a random approximation method to train and iterate to obtain optimized controller parameters, and finally bring the trained controller into a real helicopter system authenticating. Include the following steps:

[0040] Step 1) Define the Markov decision process:

[0041] Markov methods are widely used in many sequential decision-making problems. The main concepts are decision time, system state, behavior, reward ...

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Abstract

The invention relates to an intelligent height control method for an indoor small unmanned helicopter, and provides a continuous control method based on offline reinforcement learning to realize fixed-height flight of the small unmanned helicopter in an indoor positioning environment under the condition of external disturbance. Therefore, the technical scheme adopted by the invention is as follows: the small unmanned helicopter fixed-height control method based on reinforcement learning comprises the steps that firstly, a helicopter model and a return function based on a Markov sequence are constructed, then a random approximation method is adopted for training iteration to obtain optimized controller parameters, and finally a trained controller is brought into a real helicopter system tobe controlled. The method is mainly applied to indoor small-sized unmanned aerial vehicle design and manufacturing occasions.

Description

technical field [0001] The invention relates to an intelligent control method for height control of an indoor small unmanned helicopter, in particular to an enhanced learning control method based on off-line flight data. Background technique [0002] When a small unmanned helicopter performs such as hovering, low-speed forward flight and cruising flight, it needs to have the ability to stabilize its own altitude. The fixed altitude control is also the basis for the stable flight of the helicopter and many other complex controls. However, the design of height controllers also faces many serious problems. First, the altitude maintenance of the aircraft cannot achieve the goal through the control of the pitch angle. When the aircraft is subjected to a constant disturbance moment on the longitudinal channel, the flight velocity vector will gradually deviate from the original direction, thus inducing altitude drift. Second, in the dynamic process when the pitch angle tends to b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/04G05B13/04G05B13/02
CPCG05B13/0265G05B13/042G05D1/0088G05D1/046
Inventor 鲜斌安航杨晋生
Owner TIANJIN UNIV
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