Modelling and control for position-controlled modular robot manipulators

Zilong Shao 1 Gang Zheng 2, 1 Denis Efimov 1, 2 Wilfrid Perruquetti 1, 2, 3
2 NON-A - Non-Asymptotic estimation for online systems
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189, Inria Lille - Nord Europe
Abstract : Modular Robot Manipulators are user-configurable manipulators which provide rapid design and inexpensive implementation. To be easy-use, smart actuators embedded with position input and position feedback controller are adopted, these local controllers render the manipulators position controlled, but also result in limited performance and precision. This paper targets the case that the built-in controller does not provide desirable precision for set-point regulation. Firstly a joint-level model is established, of which the nominal model can be identified with derivative observer based on the position feedback, then an auxiliary adaptive controller coping with parametric uncertainty is proposed which leads to an error close to zero, a switching control strategy is introduced considering the actuator saturation. The proposed control method is implemented on a 5-DOF modular manipulator, with comparison to classic integral controller.
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https://hal.inria.fr/hal-01185120
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Zilong Shao, Gang Zheng, Denis Efimov, Wilfrid Perruquetti. Modelling and control for position-controlled modular robot manipulators. Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), Sep 2015, Hamburg, Germany. ⟨hal-01185120⟩

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