In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from mo...In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from motors, a multistep dynamics modeling strategy is proposed and a robust controller based on neural network（NN）-adaptive algorithm is designed. At the first step of dynamics modeling, the dynamics model of the reduced HHA is established by Lagrange method. At the second step of dynamics modeling, the parameter uncertain part resulting mainly from the idealization of the HHA is learned by adaptive algorithm. In the trajectory tracking controller, the radial basis function（RBF） NN, whose optimal weights are learned online by adaptive algorithm, is used to learn the upper limit function of the total uncertainties including frictions, disturbances, abrasion and pulse forces. To a great extent, the conservatism of this robust trajectory tracking controller is reduced, and by this controller the HHA can impersonate mostly human actions. The proof and simulation results testify the validity of the adaptive strategy for parameter learning and the neural network-adaptive strategy for the trajectory tracking control.展开更多
Parameter optimization for a novel 3-DOF hybrid mechanical arm was presented by using a statistics method called the statistics parameters optimization method based on index atlases.Several kinematics and mechanics pe...Parameter optimization for a novel 3-DOF hybrid mechanical arm was presented by using a statistics method called the statistics parameters optimization method based on index atlases.Several kinematics and mechanics performance evaluation indices were proposed and discussed,according to the kinematics and mechanics analyses of the mechanical arm.Considering the assembly technique,a prototype of the 3-DOF hybrid mechanical arm was developed,which provided a basis for applications of the 3-DOF hybrid mechanical arm.The novel 3-DOF hybrid mechanical arm can be applied to the modern industrial fields requiring high stiffness,lower inertia and good technological efficiency.A novel 6-DOF hybrid humanoid mechanical arm was built,in which the present mechanical arm was connected with a spherical 3-DOF parallel manipulator.展开更多
在地面上的一个严肃环境，自从人首先由飞目标探索了空间，在空间的零严肃的环境的二个飞的目标的接触过程的模拟是一个挑战性的问题。Hardware-in-the-loop (HIL ) 模拟是一个重要、有效的方法在空间测试真实停靠机制的可用性，可靠性...在地面上的一个严肃环境，自从人首先由飞目标探索了空间，在空间的零严肃的环境的二个飞的目标的接触过程的模拟是一个挑战性的问题。Hardware-in-the-loop (HIL ) 模拟是一个重要、有效的方法在空间测试真实停靠机制的可用性，可靠性，和安全。为 HIL 模拟系统有四个主要问题：能够高频率反应，高运动精确，高速度，和快速的加速的模拟器的设计；为模拟失真的赔偿；为 HIL 模拟进程的一个控制模型的设计；并且试验性的确认。这里，我们与 6-DOF 3-3 建议一个新奇 HIL 模拟器系统垂直平行机制和 3-DOF 3-PRS 平行机制；发现模拟失真的原则；为模拟器的力量测量系统，动态反应，和结构的动力学介绍失真赔偿模型；并且为 HIL 模拟过程提供一个控制模型。二种实验在被动未受潮的有弹性的杆和停靠机制上被执行测试他们的表演并且验证 HIL 模拟器的有效性和可用性。在这份报纸建议的 HIL 模拟系统为开发停靠的空格是有用的， berthing， refueling，修理，升级，搬运，并且 rescuing 技术。展开更多
基金supported by National Basic Research and Development Program of China (973 Program, Grant No. 2006CB705402)
文摘In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from motors, a multistep dynamics modeling strategy is proposed and a robust controller based on neural network（NN）-adaptive algorithm is designed. At the first step of dynamics modeling, the dynamics model of the reduced HHA is established by Lagrange method. At the second step of dynamics modeling, the parameter uncertain part resulting mainly from the idealization of the HHA is learned by adaptive algorithm. In the trajectory tracking controller, the radial basis function（RBF） NN, whose optimal weights are learned online by adaptive algorithm, is used to learn the upper limit function of the total uncertainties including frictions, disturbances, abrasion and pulse forces. To a great extent, the conservatism of this robust trajectory tracking controller is reduced, and by this controller the HHA can impersonate mostly human actions. The proof and simulation results testify the validity of the adaptive strategy for parameter learning and the neural network-adaptive strategy for the trajectory tracking control.
基金Supported by the National Natural Science Foundation of China(Grant No.50575208)the Open Fund of Prime Important Discipline of Mechanical and Mechatronics Engineering(Grant No.2009EP004)the Fund of Yanshan University
文摘Parameter optimization for a novel 3-DOF hybrid mechanical arm was presented by using a statistics method called the statistics parameters optimization method based on index atlases.Several kinematics and mechanics performance evaluation indices were proposed and discussed,according to the kinematics and mechanics analyses of the mechanical arm.Considering the assembly technique,a prototype of the 3-DOF hybrid mechanical arm was developed,which provided a basis for applications of the 3-DOF hybrid mechanical arm.The novel 3-DOF hybrid mechanical arm can be applied to the modern industrial fields requiring high stiffness,lower inertia and good technological efficiency.A novel 6-DOF hybrid humanoid mechanical arm was built,in which the present mechanical arm was connected with a spherical 3-DOF parallel manipulator.
基金supported by the National Basic Research Program of China(“973”Project)(Grant No.2013CB035501)the National Natural Science Foundation of China(Grant Nos.51335007&61473187)
文摘在地面上的一个严肃环境，自从人首先由飞目标探索了空间，在空间的零严肃的环境的二个飞的目标的接触过程的模拟是一个挑战性的问题。Hardware-in-the-loop (HIL ) 模拟是一个重要、有效的方法在空间测试真实停靠机制的可用性，可靠性，和安全。为 HIL 模拟系统有四个主要问题：能够高频率反应，高运动精确，高速度，和快速的加速的模拟器的设计；为模拟失真的赔偿；为 HIL 模拟进程的一个控制模型的设计；并且试验性的确认。这里，我们与 6-DOF 3-3 建议一个新奇 HIL 模拟器系统垂直平行机制和 3-DOF 3-PRS 平行机制；发现模拟失真的原则；为模拟器的力量测量系统，动态反应，和结构的动力学介绍失真赔偿模型；并且为 HIL 模拟过程提供一个控制模型。二种实验在被动未受潮的有弹性的杆和停靠机制上被执行测试他们的表演并且验证 HIL 模拟器的有效性和可用性。在这份报纸建议的 HIL 模拟系统为开发停靠的空格是有用的， berthing， refueling，修理，升级，搬运，并且 rescuing 技术。
