首页> 外文会议>International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation >Sliding mode control as controller for remote control weapon station 12.7mm (RCWS)
【24h】

Sliding mode control as controller for remote control weapon station 12.7mm (RCWS)

机译:滑动模式控制作为遥控武器站12.7mm(RCWS)的控制器

获取原文

摘要

This paper present how Sliding Mode Control (SMC) controls Remote Control Weapon Station (RCWS). The performance of SMC is compared with PID which PID parameter is tuned using GRG nonlinear that had been presented in other paper. The RCWS model is defined as a 2 revolute joints serial manipulator hence its system is MIMO. Modelling the motion using Denavit-Harternberg (DH) Parameter for kinematic modelling and Langrangian formula for dynamic modelling. Since the output of Lagrangian formula is a nonlinear equation, the RCWS is a nonlinear system. The model is simplified using state space model to presents its complexity of MIMO system and nonlinear system. State Space model and controller (PID and SMC) is simulated in Simulink. SMC usually used for MIMO and nonlinear system. SMC also known as a robust controller. SMC is unique controllers that has to define its sliding surface so respons could slide on it. Compared with PID, SMC make a better performance. SMC just need 0.8 sec for azimuth movement and 0.6 sec for elevation movement to be settled, its only make 3.65% overshoot for azimuth movement and 0.1% overshoot for elevation movement, then only produce 0.003rad for Root Mean Square Steady State Error at most for both movement.
机译:本文提出了滑模控制(SMC)控制遥控武器站(RCW)。将SMC的性能与PID进行比较,使用其他纸张中呈现的GRG非线性进行PID参数。 RCWS模型被定义为2旋转关节串行机械手,因此其系统是MIMO。使用Denavit-Harternberg(DH)参数对动态建模和Langrangian公式进行模拟运动,用于动态建模。由于拉格朗日公式的输出是非线性方程,因此RCW是非线性系统。使用状态空间模型简化了模型,呈现了MIMO系统和非线性系统的复杂性。在Simulink中模拟状态空间模型和控制器(PID和SMC)。 SMC通常用于MIMO和非线性系统。 SMC也称为强大的控制器。 SMC是独特的控制器,必须定义其滑动表面,因此响应可以滑动它。与PID相比,SMC具有更好的性能。 SMC仅需要0.8秒的方位运动,0.6秒用于升降的高程运动,其唯一的制作3.65 %过冲的方位运动和0.1 %过冲进行了0.1 %的海拔运动,然后仅生产0.003RAD进行均方为均方稳态误差最重要的是两个运动。

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