基于无人机的大气污染物模糊控制溯源算法的仿真实现

针对无人机的大气污染物溯源问题,提出了一种基于无人机的大气污染物模糊控制溯源算法。该算法结合无人机与模糊控制的特点,根据无人机实际所处环境设计一个模糊控制器并确定模糊控制器的输入、输出变量,模仿人脑的思维构建了模糊控制规则库,从而实现了无人机对大气污染物的智能溯源。算法在MATLAB环境中进行了仿真实验,仿真结果表明了该算法的有效性和可行性,为解决大气污染物溯源问题提供了一种新的思路。

Simulation Implementation of Fuzzy Control Traceability Algorithm for Air Pollutants Based on Unmanned Aerial Vehicle

For the traceability problem of air pollutants of unmanned aerial vehicle(UAV), a fuzzy control traceability algorithm for air pollutants based on UAV is proposed. Combining the characteristics of UAV and fuzzy control, this algorithm designs a fuzzy controller according to the actual environment of the UAV and determines the input and output variables of the fuzzy controller. It simulates the thinking of the human brain and constructs a fuzzy control rule base. Using this algorithm can achieve the intelligent traceability to air pollutants by UAV. The algorithm is simulated in MATLAB environment. The simulation results show the effectiveness and feasibility of the algorithm. This algorithm provides a new way to solve the problem of traceability of air pollutants.