基于势场模糊推理的机场驱鸟锥形驱离方法
Airport Anti-Bird Conical Removal Method Based on Potential Field Fuzzy Inference
摘要: 根据机场智能驱鸟的功能要求，使空中被驱离鸟群远离机场飞机上升或下降的区域，提出一种基于势场模糊推理的机场驱鸟类锥形驱离方法，该方法引入引力势场和斥力势场，结合被驱离鸟类的生物特性确定鸟类的飞行方向，驱动声光设备模拟出自然界障碍物形态，建立鸟类被动锥形避障模型，构造鸟类与虚拟障碍的碰撞函数，基于势场理论的鸟类躲避障碍行为特性，将鸟类避障后的飞离方向及鸟类受到的势场力，划分其隶属度并制定模糊规则库，利用模糊推理进行决策。该方法将仿生学和声光电应用相结合，使得空中被驱离鸟群远离危险区域，有效满足机场智能驱鸟的功能要求。
Abstract: According to the functional requirements of intelligent bird repelling in airports, a cone-shaped bird repelling method based on potential field fuzzy inference is proposed to keep the bird swarm away from the area where the airport aircraft rises or descends. This method introduces gravita-tional and repulsive potential fields, determines the flight direction of the bird based on the biolog-ical characteristics of the bird being repelled, drives sound and light equipment to simulate the form of natural obstacles, and establishes a passive cone-shaped obstacle avoidance model for birds. Construct a collision function between birds and virtual obstacles, based on the potential field the-ory of bird avoidance behavior characteristics, divide the flight direction of birds after obstacle avoidance and the potential field force they are subjected to, and develop a fuzzy rule library. Use fuzzy reasoning to make decisions. This method combines bionics and optoelectronic applications to drive away bird groups in the air from dangerous areas, effectively meeting the functional require-ments of airport intelligent bird control.
文章引用：孙磊, 沈俊男, 夏菽兰, 何坚强, 李文壮. 基于势场模糊推理的机场驱鸟锥形驱离方法[J]. 建模与仿真, 2023, 12(6): 4987-4993. https://doi.org/10.12677/MOS.2023.126453

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