基于PSO-SVM的四旋翼航向角误差补偿研究

摘要

针对强电磁干扰对四旋翼航向角产生较大影响,分析了多数文献提出的航向角误差补偿方法的不足,提出了一种基于粒子群优化(PSO)的支持向量机(SVM)的航向角误差补偿方法.在强电磁干扰下,建立了以测量航向角为输入,期望航向角为输出的误差补偿模型,并利用采集的数据进行仿真验证.结果表明,该模型可靠并大大提高了航向角精确度.%Aiming at strong electromagnetic interference has big influence on four-rotor heading angle,analyze deficiencies of methods that most literatures suggest,propose a method of using support vector machine(SVM) based on particle swarm optimization(PSO). The input of the modle is the heading angle that is measured in strong electromagnetic interference,and the desired angle is the output. Through the simulation with the collected data, the results show that the model is reliable and greatly improving the accuracy of the heading angle.