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Formal Verification of Quadcopter Flight Envelop Using Theorem Prover

机译:使用定理箴言的正式验证Quadcopter飞行信封

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Quadcopter controllers are in use today and in practice they can often cope well in non adverse weather conditions such as lack of strong sudden gusts of wind around the corner of a building or no frequent demands of travel directions by remote control or a guidance law. Different payloads can alter the boundaries of the stable state space region of a drone, its flight envelop, beyond which its autopilot may not be able to regain stable control of the craft. For fixed gain autopilot controllers, reaching the boundary of the flight envelop can be caused by (1) external disturbance like gusts of wind and turbulence, (2) altered drone mass and its distribution and (3) reduction or misalignment of thrust output in the propulsion system caused ware after multiple uses of the drone. This paper introduces symbolic computation to map out the numerical boundaries of controller tolerances in terms of these three factors that affect the autopilots ability to retain stability of the craft. Proof theoretic methods are developed that can be applied to quadcopter of various nominal parameters.
机译:Quadcopter控制器今天正在使用,并且在实践中,他们通常可以在非恶劣的天气条件下进行良好,例如缺乏大楼的角落缺乏强烈的突然风力,或者通过遥控器或指导法常见的旅行方向要求。不同的有效载荷可以改变无人机的稳定状态空间区域的边界,它的飞行包围超出其自动驾驶仪可能无法恢复对工艺的稳定控制。对于固定增益自动驾驶仪控制器,到达飞行信封的边界可能是由(1)外部干扰等风和湍流等阵风,(2)改变了无人机质量及其分布和(3)减少或未对准的推力输出推进系统在多次使用无人机后造成洁具。本文介绍了符号计算,以根据这三个因素映射控制器公差的数值边界,这些因素影响自动驾驶仪能够保持工艺稳定性的能力。开发证明理论方法,可以应用于各种标称参数的Quadpopter。

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