基于单神经元PID的挖掘机铲斗位姿自适应控制

为实现挖掘机作业过程自动控制,需要对铲斗位姿准确定位。建立了挖掘机工作装置运动学模型及电液控制系统模型,针对挖掘机电液控制系统的时变性与外界干扰的不确定性特点,设计了一个单神经元自适应PID控制器,并采用二次型性能指标对控制器参数进行在线优化。仿真试验表明,该控制器响应快速、平稳,对参数时变与不确定扰动具有一定鲁棒性,能有效地对挖掘机铲斗位姿进行精确控制。     

用系统仿真法对黄麦岭露天矿装运设备选型配套优化决策的研究

研究表明,黄麦岭露天矿装运设备采用斗容4米~3电铲与载重量为20吨或27吨的汽车配套时,其装运效率与利润较其它选择为优。     

Dynamics of 3-DOF Hybrid Robot Manipulator

IntroductionForhighstiffness,Stewartfirstintroducedaparallelmanipulator,whichalsooffershighaccuracyandfastdynamic performance[1] .Hencemanyresearchershavestudieddifferenttypesofparallelmanipulatorforvariousapplications.Unfortunately ,parallelmechanismexhibitssmallworkspaceandcomplicatedkinematicsanddynamics.Bycombiningmechanisms,LeeandParkdesignedahybridrobotmanipulatorfor propeller grinding .This paperintroducesahybridrobotmanipulator,whichisconstructedbycombininga parallelmechanismandapant…     

PID feedback for mixed H2/H∞ tracking control of robotic manipulators

The design objective of a mixed H2/H∞ control is to find the H2 optimal control law under aprescribed disturbance attenuation level. This paper addresses a optimal PID control law on the basis of the newsolution to mixed H2/H∞optimal control problem that provide much more flexible design compared to the existing works. Then a closed-form PID controller to mixed H2/H∞ robotic tracking problem is simply constructed and hence the design procedure is presented.Finally, numerical simulations illustrate the effectiveness of the optimal PID feedback design proposed in this paper via a two-link robotic manipulator.     

用DirectInput实现无线遥控挖掘机器人运动操纵和力反馈

将DireetInput技术和力反馈操纵手柄应用于无线遥控液压挖掘机器人，实现挖掘过程中机器人运动操作和挖掘阻力反馈。     

机器鱼群体推进速度一致性研究

针对尾鳍推进机器鱼群体速度一致性问题,以动能映射特征方程为基础,提出了基于平行辨识的一致到达方法;并进一步提出了基于动能映射系数整定协议的速度同步方法. 具体实现为:首先为群体内的个体建立一簇运动学特征方程,并采用参数迭代学习辨识及自适应控制策略使机器鱼各自独立推进. 在速度目标相同的条件下,机器鱼群体最终趋近于等速运动;然后,通过建立稳态下的动能映射系数整定协议,由主机器鱼参数值整定群体参数,避免了不同个体测量误差带来的步调变化,实现群体速度的同步和前进姿态稳定. 仿真结果证明,该目标速度一致性实现方法是有效的.      

基于阻力特性的液压挖掘机复合挖掘力建模

基于挖掘过程中三缸联动的实际作业状态,提出复合挖掘力概念.根据动臂、斗杆和铲斗的各自分工确定复合挖掘力限制条件;利用阻力角和差值角的主值区间确定复合挖掘力方向角的取值范围;假设给定挖掘姿态下复合挖掘力大小随方向角渐变,建立复合挖掘力计算模型.以某36 t反铲液压挖掘机为例,验证了该假设的正确性.以真实挖掘轨迹和测试挖掘阻力为基准,对比现有理论挖掘力模型和复合挖掘力模型的计算结果,结果表明后者能够更准确地估算挖掘机的复合挖掘能力.该研究为挖掘机工作装置的优化设计和强度分析提供了评价标准和计算依据.     

基于强化学习的仿生机器鱼节能研究

利用仿生机器鱼平台, 模拟鱼类集群游动过程, 通过实验方法探究机器鱼集群游动时的能量节省问题。具体地, 将两条机器鱼按照一定的前后距离和左右距离固定在低湍流水洞中, 并正对来流方向; 控制前方(领航)机器鱼游动姿态的变化, 使得后方(跟随)机器鱼处在变化的流场环境中。基于强化学习理论, 建立跟随机器鱼在该流场环境下游动所消耗的能量值与其游动姿态之间的映射关系; 利用该映射关系, 获得跟随机器鱼能量消耗最小值对应的游动姿态信息, 并将该信息反馈至机器鱼运动控制器中, 调整机器鱼游动姿态,达到节省机器鱼能量的目标。     

Multimodal swimming control of a robotic fish with pectoral fins using a CPG network

The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot control.This paper investigates a systematic method to formulate a Central Pattern Generator(CPG) based control model for mul-timodal swimming of a multi-articulated robotic fish with flexible pectoral fins.A CPG network is created to yield diverse swim-ming in three dimensions by coupling a set of nonlinear neural oscillators using nearest-neighbor interactions.In particular,a sensitivity analysis of characteristic parameters and a stability proof of the CPG network are given.Through the coordinated con-trol of the joint CPG,caudal fin CPG,and pectoral fin CPG,a diversity of swimming modes are defined and successfully imple-mented.The latest results obtained demonstrate the effectiveness of the proposed method.It is also confirmed that the CPG-based swimming control exhibits better dynamic invariability in preserving rhythm than the conventional body wave method.