Adaptive Control and Optimization of Mobile Manipulation Subject to Input Saturation and Switching Constraints

• Published in: IEEE transactions on automation science and engineering Vol. 16; no. 4; pp. 1543 - 1555
• Main Authors: Zhao, Ting, Liu, Yueyue, Li, Zhijun, Su, Chun-Yi, Feng, Ying
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuators; Adaptive control; Architecture; Cones; Constrained mobile manipulators; Constraint modelling; Control methods; Control stability; Coulomb friction; Disturbance observers; Dynamic stability; friction cones; Grasping; Grasping (robotics); Manipulator dynamics; Manipulators; Neural networks; optimal robotic grasping; Optimization; Saturation; Switching theory; Systems stability; Topology; Tracking; Trajectories; Trajectory tracking; unknown disturbance
• ISSN: 1545-5955; 1558-3783
• DOI: 10.1109/TASE.2018.2883343

In this paper, a hierarchical hybrid motion/force control architecture for the manipulation and grasping of mobile manipulators is presented, where the systems are subject to varieties of physical constraints such as Coulomb friction cones, nonholonomic/holonomic constraints, and actuator saturation limits. The incorporation of a projection-based operation space control and an adaptive controller based on the neural networks used in this paper formulates a novel control scheme, so the system stability is further guaranteed and the uncertain dynamics is handled without redesigning the minimal-order dynamics model. Considering the effects of these constraints, the actuator saturation limits are handled by an auxiliary designed system, and the neural dynamics optimization is applied for the quadratically constrained programing problem of the optimal robotic grasping. The dynamic uncertainties can be estimated online by using the developed motion/force control strategy, and the application of a novel disturbance observer is explored to ensure the good tracking performance. The experimental results are presented to verify the performance and the efficiency of the proposed method.