欠驱动冗余度空间机器人优化控制

欠驱动控制是空间技术中容错技术的重要方面.本文研究了被动关节中有制动器的欠驱动冗余度空间机器人系统的运动优化控制问题.从系统动力学方程出发,分析了欠驱动冗余度空间机器人的优化能力和控制方法;给出了主、被动关节间的耦合度指标;提出了欠驱动冗余度空间机器人系统的“虚拟模型引导控制”方法,在这种方法中采用与欠驱动机器人机构等价的全驱动机器人作为模型来规划机器人的运动,使欠驱动系统在关节空间中逼近给出的规划轨迹,实现了机器人末端运动的连续轨迹运动优化控制;通过末关节为被动关节的平面三连杆机器人进行了仿真,仿真的结果证明了提出算法的有效性.     

欠驱动机械手的非线性补偿控制的实现

以具有欠驱动关节的水平两自由度机械手为对象,建立了其动力学数学模型。对具有非完全约束机器人的特点进行了分析。利用解非线性方程的有效方法一平均值法对模型进行了处理,得到平均值系统,使模型得到简化。含有非驱动关节的平面二自由度机械手具有不可积分的速度和加速度束。因而是一个二阶非完整系统。通过分析系统的动力学机构,设计了一种非线性补偿控制的方法来对欠驱动关节实现控制。实验结果表明。该控制方法在控制模型、控制算法和反馈控制方法上都是十分有效的。     

基于DSP的欠驱动体操机器人的摇起控制设计

针对欠驱动机器人控制系统,给出一种基于DSP控制的类人形的三关节欠驱动体操机器人。首先以ADSP2181为核心设计出控制器,通过高速PCI总线与上位机PC通讯,采用直流电机伺服控制。然后依据建立的体操机器人动力学模型提出基于能量增加的正弦和斜坡函数输入方式,经对体操机器人作摇起控制实验,实验显示,设计的三关节欠驱动体操机器人控制系统满足实时性、稳定性和准确性要求。     

欠驱动柔性机器人的振动可控性分析

欠驱动柔性机器人的可控性分析是对其进行有效控制的关键问题. 本文以具有柔性杆的3DOF平面欠驱动机器人为例, 分两步分析系统的可控性. 首先,忽略杆件的弹性变形, 研究欠驱动刚性系统在不同驱动电机位置的状态可控性；然后, 考虑柔性因素, 研究欠驱动柔性系统的结构振动可控性. 结果表明振动可控性是随机器人关节位形和驱动电机位置而变化的, 并且欠驱动刚性机器人的状态可控性对相应的柔性系统的振动可控性有很重要的影响. 最后, 将上述研究方法扩展到具有一个被动关节的N自由度平面欠驱动柔性机器人.     

水平运动的三自由度欠驱动机器人的位置控制

以水平运动的三自由度欠驱动机器人为研究对象,对其位置控制问题进行研究．基于分层控制思想提 出一种模糊控制系统,将欠驱动机器人末端位置控制问题进行分解,末端位置由主动关节的旋转与被动关节的伸展 或收缩组成．第1 关节按照规划的曲线运动,第2 关节和第3 关节通过动力学耦合作用运动到期望位置．主动关节 2 的控制力矩或控制电压通过对模糊逻辑控制器的输出量进行加权求和得到．采用该控制原理,通过数值仿真和实 验实现了3R 欠驱动机器人在操作空间中末端点到点的位置控制．     

无机械辅助结构自行车机器人控制仿真及实现

为实现自行车机器人的平稳直线行驶,论证了无机械辅助结构、仅靠调整车把维持自平衡的后驱自行车机器人动力学建模、姿态控制、系统仿真及实物样机实验.针对具有典型对称性欠驱动非完整约束的自行车机器人系统难于实现平衡控制问题,首先基于拉格朗日方法分析系统力学机理,建立简化动力学模型.然后基于部分反馈线性化原理,对车体横滚角与转把力矩的欠驱动子系统进行线性化处理及模糊自适应控制.仿真及实验结果表明,有效地实现了自行车机器人直线运动自平衡控制,为进一步开展自行车机器人以及其他欠驱动系统平衡运动控制奠定理论基础.     

仿生机器人运动步态控制:强化学习方法综述

仿生机器人是一类典型的多关节非线性欠驱动系统，其步态控制是一个非常具有挑战性的问题。对于该问题，传统的控制和规划方法需要针对具体的运动任务进行专门设计，需要耗费大量时间和精力，而且所设计出来的控制器往往没有通用性。基于数据驱动的强化学习方法能对不同的任务进行自主学习，且对不同的机器人和运动任务具有良好的通用性。因此，近年来这种基于强化学习的方法在仿生机器人运动步态控制方面获得了不少应用。针对这方面的研究，本文从问题形式化、策略表示方法和策略学习方法3个方面对现有的研究情况进行了分析和总结，总结了强化学习应用于仿生机器人步态控制中尚待解决的问题，并指出了后续的发展方向。     

非驱动关节机器人的非线性闭环位置控制

以具有非驱动关节的水平两自由度机器人为研究对象,利用拉格朗日动力学方程,建立了具有非驱动臂的两关节机器人的动力学数学模型,此数学模型为二阶非线性微分方程。利用求解非线性方程的有效方法—平均值法,对已经建立的二阶非线性微分方程的数学模型进行了平均化处理,实现了数学模型的化简。同时提出了一种非线性闭环反馈的控制方法并对此控制方法进行了仿真。在控制仿真中,实现了对非驱动关节机器人系统的期望控制目标,并验证了模型化简和控制方法的有效性。     

一种欠驱动柔性机器人模型的建立及控制

采用Lagrange建模方法建立了欠驱动柔性自平衡机器人的数学模型,对柔性关节部分考虑了其弹性势能,仿真验证了模型的正确性,刚度越大,机器人上半身角度跟踪越快.采用线性二次型最优控制有效地控制了柔性机器人的平衡问题,通过实验,验证了在状态不完全可观测情况下系统的可控性,实验表明,只需机器人上半身部分安装传感器即可控制机器人达到平衡状态.对机器人结构的设计提供了参考.     

基于Simulink的复合驱动机器人关节臂试验系统仿真分析

小体积、重载荷、高精度定位是机器人的一个重要发展方向。本文介绍了对复合驱动机器人关节臂试验系统的研究,应用MATLAB软件对该系统进行了数学建模和PID仿真,实现了快速高精度的小体积复合驱动机器人关节臂试验系统设计。     

含有未驱动关节的空间机器人控制

含有未驱动关节的自由潭浮空间机器人具有不可积分的速度和加速度约束，因而是一个二阶非完整系统，通过分析系统的动力学结构，本文设计了一种全 基于速度控制的方法控制未驱动关节，然后采用多步混合控制策略实现空间机器人的定位跟踪。     

Swing-Up Control for a 3-DOF Gymnastic Robot With Passive First Joint: Design and Analysis

This paper concerns a swing-up control problem for a three-link gymnastic planar robot in a vertical plane with its first joint being passive (unactuated) and the rest being active (actuated). The objectives of this paper are to: (1) design a controller under which the robot can be brought into any arbitrarily small neighborhood of the upright equilibrium point, where all three links of the robot remain in their upright positions; and (2) attain a global analysis of the motion of the robot under the controller. To tailor the energy-based control approach to achieve the aforementioned objectives, first, this paper considers the links 2 and 3 as a virtually composite link, and proposes a coordinate transformation of the angles of active joints. Second, this paper constructs a novel Lyapunov function based on the transformation, and devises an energy-based swing-up controller. Third, this paper carries out a global analysis of the motion of the robot under the controller, and establishes some conditions on control parameters for achieving the swing-up control objective. To validate the theoretical results obtained, this paper provides simulation results for a three-link robot with its mechanical parameters being obtained from a human gymnast.     

Emerging motor behaviors: Learning joint coordination in articulated mobile robots

In this paper, we analyze the insights behind the common approach to the assessment of robot motor behaviors in articulated mobile structures with compromised dynamic balance. We present a new approach to this problem and a methodology that implements it for motor behaviors encapsulated in rest-to-rest motions. As well as common methods, we assume the availability of kinematic information about the solution to the task, but reference is not made to the workspace, allowing the workspace to be free of restrictions. Our control framework, based on local control policies at the joint acceleration level, attracts actuated degrees of freedom (DOFs) to the desired final configuration; meanwhile, the resulting final states of the unactuated DOFs are viewed as an indirect consequence of the profile of the policies. Dynamical systems are used as acceleration policies, providing the actuated system with convenient attractor properties. The control policies, parameterized around imposed simple primitives, are deformed by means of changes in the parameters. This modulation is optimized, by means of a stochastic algorithm, in order to control the unactuated DOFs and thus carry out the desired motor behavior.     

Novel Energy Transfer Mechanism in a Running Quadruped Robot with One Actuator per Leg

In this work we develop a novel method, or mechanism, of energy transfer in a quadruped running robot. The robot possesses only one actuator per leg, for lower weight and greater power autonomy. The developed mechanism ensures correct dispersion of energy to the actuated and the unactuated degrees of freedom of the robot for stable running. In the mechanism design, we address the added problem of running on inclined ground. In conjunction with a pitch control method, the energy transfer mechanism forms a complete control algorithm. Due to the novel dynamics-based design of the mechanism, it allows the arbitrary setting of the motion forward speed and apex height. Further, it may be applied for different robot physical parameters and ground inclines, without extensive controller tuning. This has not been previously possible using only one actuator per leg. Simulations of a detailed three-dimensional model of the robot demonstrate the mechanism on two different robots. The simulations take into account many real-world characteristics, including realistic leg models, energy loss due to feet collisions, foot–ground friction and energy losses in the joints. Results demonstrate that inclines of up to 20° are properly negotiated.     

Simultaneous stabilization and trajectory tracking of underactuated mechanical systems with included actuators dynamics

The paper deals with a novel control algorithm for simultaneous stabilization and trajectory tracking of underactuated nonlinear mechanical systems (UNMS) with included actuators dynamics. Simultaneous stabilization and trajectory tracking refer to arbitrary chosen actuated and unactuated degrees of freedom (DOF) of the system. The proposed control approach can be applied both to the second-order nonholonomic systems and the systems with input coupling, while a general model of actuators dynamics includes electrical, pneumatic, and hydraulic drives. Control law is based on linear combination of two control signals, where the first signal is designed to separately control only actuated DOF, and second to separately control only unactuated DOF. Simulation example of rotational inverted pendulum driven by electrical DC motor is presented, showing the effectiveness of the proposed approach.     

Nonlinear Feedback Control of a Gravity-Assisted Underactuated Manipulator With Application to Aircraft Assembly

A nonlinear feedback scheme for a gravity-assisted underactuated manipulator with second-order nonholonomic constraints is presented in this paper. The joints of the hyper articulated arm have no dedicated actuators but are activated by gravity. By tilting the base link appropriately, the gravitational torque drives the unactuated links to a desired angular position. With simple locking mechanisms, the hyperarticulated arm can change its configuration using only one actuator at the base. This underactuated arm design was motivated by the need for a compact snake-like robot that can go into aircraft wings and perform assembly operations using heavy end-effectors. The dynamics of the unactuated links are essentially second-order nonholonomic constraints for which there are no general methods to design closed-loop control. We propose a nonlinear closed-loop control law that is guaranteed to be stable in positioning one unactuated joint at a time. We synthesize a Lyapunov function to prove the convergence of this control scheme. The Lyapunov function also generates estimates of the domain of convergence of the control law for various control gains. The control algorithm is implemented on a prototype three-link system. Finally, we provide some experimental results to demonstrate the efficacy of the control scheme.     

Feedback-based event-driven parts moving

A collection of unactuated disk-shaped "parts" must be brought by an actuated manipulator robot into a specified configuration from arbitrary initial conditions. The task is cast as a noncooperative game played among the parts-which in turn yields a feedback-based event-driven approach to plan generation and execution. The correctness of this approach, an open question, has been demonstrated in simpler settings and is further suggested by the extensive experiments reported here using an actual working implementation with EDAR-a mobile robot operating in a purely feedback-based event-driven manner. These results verify the reliability of this approach against uncertainties in sensory information and unanticipated changes in workspace configuration.     

Dynamic coupling switching control incorporating Support Vector Machines for wheeled mobile manipulators with hybrid joints

The hybrid joints can be switched to either active (actuated) or passive (under-actuated) mode as needed (Li, Ming, Xi, & Shimojo, 2006), in this paper, dynamic coupling switching control incorporating Support Vector Machines (SVMs) is developed for wheeled mobile manipulators with hybrid joints. The hybrid actuated robot dynamics is a mixed under-actuated and actuated model. In order to approximate the high dimension unmodelled dynamics, the SVMs matrix and its operator are proposed. Considering the joint switching as an event, the event driven switching control strategy is used to ensure that the system outputs track the given bounded reference signals within a small neighborhood of zero, and guarantee semi-global uniform boundedness of all closed loop signals, and the switch stability. The effectiveness of the proposed controls is verified through extensive simulations.     

Hybrid force and motion control of flexible joint parallel manipulators using inverse dynamics approach

An inverse dynamics control algorithm is developed for hybrid motion and contact force trajectory tracking control of flexible joint parallel manipulators. First, an open-tree structure is considered by the disconnection of adequate number of unactuated joints. The loop closure constraint equations are then included. Elimination of the joint reaction forces and the other intermediate variables yield a fourth-order relation between the actuator torques and the end-effector position and contact force variables, showing that the control torques do not have an instantaneous effect on the end-effector contact forces and accelerations because of the flexibility. The proposed control law provides simultaneous and asymptotically stable control of the end-effector contact forces and the motion along the constraint surfaces by utilizing the feedback of positions and velocities of the actuated joints and rotors. A two degree of freedom planar parallel manipulator is considered as an example to illustrate the effectiveness of the method.