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Identification and control of low-cost robot manipulators

Abstract : Unlike industrial robot manipulators which are huge in size and of high price, many low-cost robot manipulators have already entered the market, with small size and light weight, this type of robots are more accessible to the public. However, limited by the cost, the components adopted (materials, actuators, controllers, etc.) are also limited, this often leads to less robust control performance. This thesis focuses on the controller design to improve the performance for such kind low-cost robot manipulators. To start with, for rigid case, dynamic modeling considering the actuator system is established, which forms a differential equation with constant parameters and disturbance, a method to identify the model parameters using observers and then an adaptive controller are proposed, simulation and experimental results are given. Then, in case of flexible joints, for simplicity, a single-link case model is considered. Firstly, link velocity measurement is assumed to provide link information, and an identification method and a two-stage adaptive control low are proposed provided that the static link position can also be measured, simulation result is given. Secondly, by using link acceleration measurement, an identification method and the same two-stage adaptive control low areproposed, this idea is generalized to identification and control of linear system using high-order derivative measurements, simulation result is presented. For implementation, inertial sensors (gyro and accelerometer) are used and experimental result is presented.
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Submitted on : Tuesday, March 7, 2017 - 10:13:05 AM
Last modification on : Wednesday, May 19, 2021 - 3:40:46 AM
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  • HAL Id : tel-01484288, version 1



Zilong Shao. Identification and control of low-cost robot manipulators. Automatic Control Engineering. Ecole Centrale de Lille, 2016. English. ⟨NNT : 2016ECLI0001⟩. ⟨tel-01484288⟩



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