柔性关节-柔性臂空间机器人的神经网络自适应反演控制及双重柔性振动抑制

空间机器人系统的柔性主要体现在空间机器人的臂杆和连接各臂杆之间的铰关节。由于空间机器人系统结构的复杂性,以往研究人员对同时具有柔性关节和柔性臂的系统关注不够。为此探讨了参数未知柔性关节-柔性臂空间机器人系统的动力学模拟、轨迹跟踪控制算法设计和关节、臂杆双重柔性振动的主动抑制问题。首先,采用多体动力学建模方法并结合漂浮基空间机器人固有的线动量和角动量守恒动力学特性,推导了系统的动力学方程。以此为基础,考虑到空间机器人实际应用中各关节铰具有较强柔性的情况,引入一种关节柔性补偿控制器解决了传统奇异摄动法应用受关节柔性限制问题,导出了适用于控制系统算法设计的数学模型。然后,利用该模型,基于反演思想在慢时标子系统中设计神经网络自适应控制算法来补偿系统参数未知和柔性关节引起的转动误差,实现系统运动轨迹跟踪性能;针对快时标子系统,设计了鲁棒最优控制算法抑制因柔性关节及柔性臂引起的系统双重弹性振动,保证系统的稳定性。最后,通过仿真对比实验验证了所设计控制算法的有效性。     

Low-voltage soft robots based on carbon nanotube/polymer electrothermal composites

Nowadays, soft robots have become a research hot spot due to high degree of freedom, adaptability to the environment and safer interaction with humans. The carbon nanotube (CNT)/polydimethylsiloxane (PDMS) electrothermal composites have attracted wide attention in the field of flexible actuations due to large deformation at low voltages. Here, the preparation process of CNT/PDMS composites was designed and optimized, and electrothermal actuators (ETAs) were fabricated by cutting the CNT/PDMS composite films into a "U" shape and coating conductive adhesive. The deformation performance of the ETAs with different thicknesses at different voltages was studied. At a low voltage of about 7 V, the ETA has a deformation rate of up to 93%. Finally, two kinds of electrothermal soft robots (ETSRs) with four-legged and three-legged structures were fabricated, and their inchworm-like motion characteristics were studied. The ETSR2 has the best motion performance due to the moderate thickness and three-legged electrode structure.     

基于干扰观测器的柔性关节空间机器人退步自适应控制

研究了载体位置、姿态均不受控的情况下,系统参数不确定的柔性关节空间机器人轨迹跟踪的控制问题.结合系统动量、动量矩守恒关系,利用拉格朗日法推导出系统的动力学模型.为减小系统柔性关节对系统控制精度的影响,采用关节柔性补偿器来等效降低系统关节的柔性.再借助奇异摄动法,针对系统参数不确定的情况,设计了柔性关节空间机器人基于干扰观测器的退步自适应滑模控制方案.该方案不需要对系统惯性参数进行线性化处理,控制器结构简单,且实现了空间机器人期望轨迹的精确跟踪控制.通过平面两杆空间机器人的数值仿真证明了该方法的有效性.     

HYBRID OPTIMIZATION STRATEGY FOR MOTION PLANNING OF SPACE ROBOT SYSTEM WITH PRISMATIC JOINT

研究了自由漂浮带滑移铰空间机器人非完整运动规划的最优控制问题,提出一种由高斯伪谱法求解可行解与直接打靶法求解最优解相结合的混合优化策略.首先,根据多体系统动力学理论建立空间机器人的动力学模型,给定系统的初始和目标位形,将空间机器人运动规划问题描述成博尔察（Bolza）型最优控制问题;然后,利用高斯伪谱法将最优控制问题离散为非线性规划问题,求解在较少勒让德-高斯（Legendre-Gauss,LG）点时状态变量和控制变量对应的可行解;最后,在LG点处离散控制变量,作为直接打靶法的初值,利用序列二次规划算法求解空间机器人系统的优化运动轨迹和最优控制输入.通过数值仿真,系统优化运动轨迹光滑平稳,最优控制输入也能很好地满足各种约束条件,仿真结果验证了该混合优化策略的鲁棒性和有效性.     

漂浮基双臂空间机器人姿态与末端抓手惯性空间轨迹协调运动的模糊滑模控制

本文讨论了载体姿态受控、位置不受控制的双臂空间机器人系统的控制问题.利用拉格朗日方法并结合系统动量守恒关系,建立了双臂空间机器人系统的非线性系统动力学模型.以此为基础,考虑到空间机器人系统结构的复杂性及其某些参数的变动性,根据具有较强鲁棒性的变结构控制理论,设计了双臂空间机器人载体姿态与两机械臂末端抓手惯性空间轨迹协调运动的滑模变结构控制方案.为了克服滑模变结构控制器抖振的缺点,附加设计了一个模糊控制器,以便根据系统的输出来动态调节滑模变结构控制器等速趋近率的系数,从而既确保了系统的快速响应而又消除了原有的抖振.系统数值仿真,证明了上述控制方案良好的控制效果.     

Hysteresis modeling and position control of tendon-sheath mechanism in flexible endoscopic systems

Tendon-sheath mechanism has “revolutionized” the use of flexible endoscopic systems, by its many advantages of high maneuverability, lightweight, low cost, and simple design. However, nonlinear phenomena such as friction and backlash hysteresis present major challenges for motion control of the tool tips. This paper introduces a new mathematical model and a control scheme for the tendon-sheath mechanism for use in endoscopic systems. The asymmetric backlash hysteresis model that characterizes the transmission phenomena of the tendon-sheath mechanism in the loading and unloading phases is presented and discussed. An efficient parameter identification method is used to estimate the model parameters. Comparisons between the proposed model and experimental data validate the adoption of this new approach. A feedforward compensation method based on the asymmetric backlash hysteresis model is proposed and explored. The proposed model and control scheme are validated by experimental studies using a suitable experimental setup. The results show that the proposed model and the control scheme can improve the accuracy of tendon-sheath mechanism without using any output feedback and can be easily implemented in surgical robots using tendon-sheath mechanism as the main mode of transmission.     

GT-400在并联机器人控制中的运用

介绍近年来在机器人控制中得到广泛应用的基于DSP（Digital Signal Processor)的运动控制器，将其运用于3{R//R//C}并联机器人的控制系统，该系统采用以PC机为上位机，GT-400运动控制器为下位机的双CPU的硬件结构和基于Visual C 6.0，Windows操作系统的软件系统。     

一种基于压电驱动的小型移动机器人的研究

提出了一种基于弹性体1阶纵振、3阶弯振驱动的“人”字型移动机器人,实现了基于同一压电陶瓷片的压电常数(d33,d31)效应同时激发纵振、弯振的设想;建立了纵、弯振频率一致性的几何条件;仿真了机器人的振动模态,并计算出了纵、弯振动一致性固有频率为26.378 kHz;研制出了机器人的自振荡频率跟踪驱动电路;制作出了机器人原型机,并在其上完成了模态、运行实验;实验结果表明该机器人可在较光滑表面上爬行。     

Study on Optimizing of Ball Passing Strategy and Role Switching Mechanism for Robot Soccer

A new ball passing strategy for robot soccer is proposed in this paper. With introduce of a new algorithm on ball passing, the optimum strategy is confirmed to be more efficient and exact when passing a ball. Questions of role switching in multi-intelligent agent cooperation in robot soccer are described based on Generalized Stochastic Petri-Net （GSPN）. Results of computer simulation have confirmed the feasibility and efficiency of above Petri-net method.     

超声电机驱动的机器人的模糊神经网络控制

超声电机的小质量、大转矩、响应快等特点,是其成为小型直接驱动机器人执行器的基础。通过对超声电机的伺服特性研究及关节型机器人动力学分析,提出了超声电机驱动的机器人的模糊神经网络控制的复合控制方法,该方法中,模糊子控制器实现了关节定位的初步控制,神经网络子控制器起到降解稳态误差、提高控制精度作用。文中较详细地研究了复合控制器的结构及两个子控制器的设计问题。为了检验控制效果,对控制系统进行了仿真,结果表明,采用这种复合控制器可获得较高的位置精度。