首页> 外文会议>ASME annual dynamic systems and control conference >PARTICLE SWARM OPTIMIZATION TUNING OF FAULT TOLERANT SLIDING MODE CONTROL FOR QUADROTOR
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PARTICLE SWARM OPTIMIZATION TUNING OF FAULT TOLERANT SLIDING MODE CONTROL FOR QUADROTOR

机译:粒子群优化调整电流容错滑动模式控制的算法

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Unmanned Aerial Vehicle (UAV) mission success is highly dependent on the robust and reliable performance of individual UAVs. Therefore implementing fault tolerant control to prevent UAV catastrophic failure is critical. In this paper, a control strategy for a Quadrotor under actuator fault is considered. A Sliding Mode Controller (SMC) is used to control the quadrotor during nominal and fault conditions. The gains of the SMC are obtained through a Lyapunov stability analysis, and optimized through Particle Swarm Optimization (PSO). Simulations are presented to exhibit controller effectiveness during nominal and fault conditions.
机译:无人驾驶飞行器(UAV)使命成功高度依赖于个体无人机的强大和可靠性。因此,实现容错控制以防止无人机灾难性故障至关重要。在本文中,考虑了在执行器故障下的四轮电机的控制策略。滑动模式控制器(SMC)用于在标称和故障条件下控制四轮电机。通过Lyapunov稳定性分析获得SMC的增益,并通过粒子群优化(PSO)进行优化。提出了在标称和故障条件下表现出控制器效率的模拟。

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