期刊文献+

矿井搜救探测机器人驱动系统最小能耗建模与影响因素分析 被引量:2

Modeling for minimum energy consumption of mine rescue detection robot drive system and analysis on influence factors
下载PDF
导出
摘要 研究了矿井搜救探测机器人最小能耗影响因素。针对直流伺服电机和减速齿轮驱动下的移动机器人驱动系统,利用Hamiltonian函数与最小值原理求解出驱动系统的最优速度函数和最优控制电流函数,建立了非线性摩擦条件下的最小能耗模型。通过MATLAB仿真,分析了减速器效率η、负载、库仑摩擦力和粘性摩擦系数等因素对最小能耗的影响,确定了各参数对驱动系统最小能耗的影响规律。为矿井搜救探测机器人驱动系统消耗能量最小进行参数配置提供依据,对实现机器人节能降耗具有现实的意义。 Influence factors of minimum energy consumption of the mine rescue detection robot are studied. For driving system of the mobile robot driven by DC servo motor and reduction gear, the optimal velocity function and the optimal control current function of driving system are solved using the Hamiltonian function and the minimum theorem, and the minimum energy consumption model of nonlinear friction conditions is established. Through MATLAB simulation, the influences of the efficiency of the reducer, load, Coulomb friction and viscous friction coefficient on minimum energy consumption are analyzed, and the influence laws of various parameters on minimum energy consumption of the drive system are determined. The basis is provided for mine rescue detection robot servo motor driving system to configure parameters.It is practical significance to realize the energy saving.
出处 《计算机工程与应用》 CSCD 北大核心 2015年第22期77-84,共8页 Computer Engineering and Applications
关键词 矿井搜救探测机器人 HAMILTONIAN 最小值定理 最小能耗 mine rescue detection robot Hamiltonian minimum value theorem minimum energy consumption
  • 相关文献

参考文献7

二级参考文献54

  • 1王田苗.走向产业化的先进机器人技术[J].中国制造业信息化(学术版),2005,34(10):24-25. 被引量:13
  • 2李允明.国外仿人机器人发展概况[J].机器人,2005,27(6):561-568. 被引量:30
  • 3王新杰,李培根,陈学东,陈宏娟.四足步行机器人动力学模型及脚力分配的研究[J].华中科技大学学报(自然科学版),2005,33(12):12-15. 被引量:9
  • 4孙敏,范守文.基于能耗指标的拟人机器人步态优化与分析[J].机械设计与研究,2007,23(2):52-54. 被引量:7
  • 5Lewin C. Motion control gets gradually better[J ]. Machine Design, 1994, 1 (21) : 90- 94.
  • 6Meckl P H, Arestides P B. Optimized S-curve motion profiles for minimum residual vibration[C] //Proc, of the American Control Conference, San Diego, CA, 1998, 5:2627-2631.
  • 7Chen C S, Lee A C. Design of acceleration/deceleration profiles in motion control based on digital FIR filters [J]. International Journal of Machine Tools and Manufacture, 1998, 38(7):799-825.
  • 8Nguyen K D, Chen I M. Planning algorithms for S-curve trajectories[C]//Advanced Intelligent Mechatronics, 2007 IEEE/ ASME International Conference, 2007.
  • 9DerMin Tsay, Cheng Fenglin. Asymmetrical inputs for minimizing residual response[ C] // Proceedings of the 2005 ICM'05 IEEE International Conference on Mechatronies, 2005 : 235 - 240.
  • 10KeunHo Rew, KyungSoo Kim. Using asymmetric S-curve profile for fast and vibrationless motion [C]// International Conference on Control, Automation and Systems, 2007.

共引文献177

同被引文献16

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部