首页> 外文会议>International Computer Conference on Wavelet Active Media Technology and Information Processing >Application of improved PSO in PID parameter optimization of quadrotor
【24h】

Application of improved PSO in PID parameter optimization of quadrotor

机译:改进的粒子群算法在四旋翼PID参数优化中的应用

获取原文

摘要

In the quadrotor control, the largest and most mature arithmetic is the PID controller. PID control is simple and good robust algorithm, adjust the quality of PID parameters directly determine control effect. The PID parameters adjust manual debugging using trial and error method, this testing method have heavy workload[1], time-consuming and difficult to reach a good control. This paper introduces a simple particle swarm optimization(sPSO) method to adjust the PID parameters, the sPSO algorithm can quickly and accurately find the optimal parameters solutions, through simulation comparison show that this method can have greater flexibility, robustness and adaptability and can improve the control precision. So the control system has good practical value.
机译:在四旋翼控制中,最大和最成熟的算法是PID控制器。 PID控制算法简单易行,鲁棒性好,调节PID参数的好坏直接决定控制效果。 PID参数采用试错法调整手动调试,该测试方法工作量大[1],费时且难以达到良好的控制效果。本文介绍了一种简单的粒子群优化(sPSO)方法来调节PID参数,该sPSO算法可以快速,准确地找到最优参数解,通过仿真比较表明,该方法具有更大的灵活性,鲁棒性和适应性,可以提高算法的可靠性。控制精度。因此该控制系统具有良好的实用价值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号