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Self-adaptive genetic algorithm-based flight simulator motion control method

A flight simulator and genetic algorithm technology, applied in the field of motion control of flight simulators based on adaptive genetic algorithms, can solve problems such as poor motion simulation accuracy, improve motion fidelity, improve flight training efficiency, and optimize motion simulation technology Effect

Active Publication Date: 2019-12-27
QINGDAO RES INST OF BEIHANG UNIV +1
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies such as poor motion simulation accuracy existing in the prior art, the present invention proposes a flight simulator motion control method based on an adaptive genetic algorithm, which can effectively improve the motion fidelity of flight simulation and improve the flight training effect

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  • Self-adaptive genetic algorithm-based flight simulator motion control method
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  • Self-adaptive genetic algorithm-based flight simulator motion control method

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Embodiment Construction

[0046] In order to understand the above-mentioned purposes and advantages of the present invention more clearly, the specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings:

[0047] A flight simulator motion control method based on adaptive genetic algorithm, mainly used in flight simulators, such as figure 1 As shown, it is a schematic diagram of its principle, mainly including:

[0048] Step 1: The flight simulator control system is initialized to determine that the motion platform is at the initial position;

[0049] Step 2: Set the flight dynamics model and obtain its corresponding flight parameters;

[0050] The flight parameters are obtained by collecting simulated cockpit control signals, and the flight parameters include three axial accelerations, roll angular velocity, roll angular acceleration, pitch angular velocity, pitch angular acceleration, yaw angular velocity, and yaw angle in the body coo...

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Abstract

The invention discloses a self-adaptive genetic algorithm-based flight simulator motion control method. The self-adaptive genetic algorithm-based flight simulator motion control method comprises the steps of receiving a true flight motion parameter input, optimizing a typical washout algorithm model by a self-adaptive genetic algorithm, performing washout operation according to the model, performing calculation to obtain platform motion displacement, obtaining a driving force signal of each rod by signal conversion, and driving a motion platform to complete a predetermined flight attitude motion. Research is performed according to a simulator typical washout algorithm principle, the influence of various constraint factors is fully considered, the most excellent typical washout algorithm parameter is selected by the self-adaptive genetic algorithm from the whole structure of the algorithm, the motion simulation technology is optimized, the motion fidelity of flight simulation can be effectively improved, and the flight training effect is improved.

Description

technical field [0001] The invention belongs to the field of flight simulator motion control, in particular to a flight simulator motion control method based on an adaptive genetic algorithm. Background technique [0002] IPT (Integrated Procedures Trainer) is an important training equipment in the aerospace field. In order to create a more realistic flight environment, IPT simulates various flight actions by controlling the motion platform, and transmits motion perception to the trainers in the simulated cockpit. The main mechanism that affects the motion simulation is the dynamic motion platform, including the structural design of the platform, kinematics principles and control algorithms. Optimizing the control algorithm of the motion platform can improve the motion fidelity of flight simulation and improve the effect of flight training. [0003] At present, the most widely used control algorithm at home and abroad is the washout algorithm. The control system receives t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 严小天于洋王慧青刘训福田学博
Owner QINGDAO RES INST OF BEIHANG UNIV
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