Title :
Control of a redundantly actuated power line inspection robot based on a singular perturbation model
Author :
Wang, Ludan ; Cheng, Sheng ; Zhang, Jianwei ; Hu, Ying
Author_Institution :
Cognitive Technol. Lab., Shenzhen Inst. of Adv. Technol., Shenzhen
Abstract :
This paper focuses on the controller design of the walking system of a power transmission line inspection robot that is redundantly actuated by two wheels. After an analysis the kinematics and dynamic model of the driven system, the controller is designed as a master-slave model to avoid the ldquoconflictrdquo between the two wheels. To effectively damp the elastic vibration caused by the flexible manipulator, the control system was decomposed into two subsystems, a slowly-changing subsystem and a fast-changing subsystem based on a singular perturbation model. A hybrid control method, consisting of a RBF adaptive PD control which was applied to slow-changing subsystem and optimal control which was applied to fast-changing subsystem was presented. The RBF adaptive algorithm can estimate the unknown resistance on-line and keep the controller stable. Simulation results prove this method to be reasonable and effective.
Keywords :
PD control; adaptive control; control system synthesis; inspection; legged locomotion; linear quadratic Gaussian control; manipulator dynamics; manipulator kinematics; power transmission lines; singularly perturbed systems; RBF adaptive PD control; controller design; driven system; dynamic model; elastic vibration; fast-changing subsystem; flexible manipulator; hybrid control method; kinematic model; master-slave model; power transmission line inspection robot; redundantly actuated power line inspection robot; singular perturbation model; slowly-changing subsystem; walking system; Control system synthesis; Control systems; Inspection; Kinematics; Legged locomotion; Mobile robots; Optimal control; Power system modeling; Power transmission lines; Wheels; Flexible; Inspection robot; Redundantly actuated; Singular perturbation;
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
DOI :
10.1109/ROBIO.2009.4913003