利用基于行为的智能模糊控制实现四旋翼飞行器的自主极点平衡设计

Muhammad Iqbal Fadholi, Suhartono, P. S. Sasongko, Sutikno
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引用次数: 7

摘要

四旋翼直升机(Quadcopter)是一种使用四个螺旋桨旋翼进行操纵的直升机 VAV [1]。一些四旋翼飞行器的开发采用了基于人工智能行为的智能模糊控制(BBIFC)概念。目前正在开发的一些四旋翼飞行器操纵动作包括四旋翼飞行器之间的合作动作、旋转和反转动作、抛球动作、避障动作、抓球动作以及四旋翼飞行器平衡动作的自动化。平衡运动包括在某一位置飞行时的平衡、着陆时的平衡以及携带负载时的平衡 [2]。利用基于行为的智能模糊控制,设计并实现了四旋翼飞行器上的自主杆平衡,即在四旋翼飞行器上放置一根杆,设计四旋翼飞行器在载荷平衡时的自动化运动。四旋翼飞行器用于平衡电线杆,因此必须在电线杆倒下之前完成一个计算周期。在角度公差为 800 的情况下,电线杆将在 1 秒内到达斜坡角度,因此,在一个计算周期内必须在 1 秒内完成。
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Autonomous Pole Balancing Design In Quadcopter Using Behaviour-Based Intelligent Fuzzy Control
Quadcopter is a helicopter VAV that uses four rotors of propeller to maneuver [1]. Some Quadcopter development uses the concept of artificial intelligence behavior-based intelligent fuzzy control (BBIFC). Some quadcopter maneuver movements that are currently being developed include cooperative movement between quadcopter, rotating and reversing movements, ball throwing movements, obstacle avoidance movements, ball capture movements, and automation of balancing motion on quadcopter. The balancing motion includes balancing when flying at a certain position, balancing for landing, and balancing when carrying loads [2]. Autonomous Pole Balancing on Quadcopter has been designed and implemented using Behavior-Based Intelligent Fuzzy Control, the design of automation of quadcopter motion in balancing with carrying loads namely a pole placed on a quadcopter. Quadcopter is used to balance the pole, so that in one calculation cycle must be completed before the pole falls. With an angle of 800 tolerance, the pole will arrive at the slope angle within 1 second, so that, in one calculation cycle must be completed in less than 1 second.
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