Modelling and trajectory tracking control of Elbow Bracing Manipulators for Energy-efficiency

This paper presents the constraint dynamic modelling of a six-link elbow-bracing manipulator. This system is kinematically redundant when it is asked to perform spatial trajectory tracking tasks. Hence the extra degrees of freedom (DOFs) can be used to assign additional motion such as constraint forces control without violating end-effect's functions, which can improve the manipulator's performance such as minimizing energy requirements. Since the control of the constraint forces will not affect the end-effect's position, the hybrid force and position control method is proposed. The control scheme consists of two terms: constraint forces control with the incorporation of proportional (p) controller and trajectory tracking control. In addition, the motion equations of motors are incorporated into the constraint dynamics of the system. So that the energy consumption can be calculated by integrating the product of the voltage and current. This study is based on our previous works, which can achieve the control of three constraint forces. Finally, simulation experiments along with comparative studies of previous works such as: with no constraint force and one constraint force are conducted. The results show that the proposed method achieves prior energy-efficient performance and tracking accuracy.

[1]  Norihiko Adachi,et al.  Position and Force Control of Manipulators without Using Force Sensors. , 1992 .

[2]  H. Hemami,et al.  Modeling and control of constrained dynamic systems with application to biped locomotion in the frontal plane , 1979 .

[3]  Xiang Li,et al.  Energy-efficient and precise trajectory-tracking with bracing manipulator , 2015 .

[4]  H. Harry Asada,et al.  A method for the design of hybrid position/Force controllers for manipulators constrained by contact with the environment , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[5]  Mamoru Minami,et al.  Lyapunov-stable position/force control based on dual nature in constraint motion , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  A. Yanou,et al.  Hand-trajectory tracking control with bracing utilization of mobile redundant manipulator , 2012, 2012 Proceedings of SICE Annual Conference (SICE).

[7]  Louis L. Whitcomb,et al.  Adaptive force control of position/velocity controlled robots: theory and experiment , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[8]  Xiang Li,et al.  Analysis of bracing-constraint dynamics with energy-efficient for elbow-bracing manipulator , 2016, 2016 IEEE International Conference on Mechatronics and Automation.

[9]  Bruno Siciliano,et al.  A passivity-based approach to force regulation and motion control of robot manipulators , 1996, Autom..

[10]  Tsuneo Yoshikawa,et al.  Dynamic hybrid position/force control of robot manipulators description of hand constraints and calculation of joint driving force , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[11]  Hendrik Van Brussel,et al.  Compliant Robot Motion II. A Control Approach Based on External Control Loops , 1988, Int. J. Robotics Res..

[12]  Mamoru Minami,et al.  Proposal of bracing controller utilizing constraint redundancy and optimization of bracing position , 2013, The SICE Annual Conference 2013.

[13]  Akira Yanou,et al.  Improvement of Accuracy to Grind by Changing Position Control Gain for Shape-Grinding , 2014 .

[14]  Carlos Canudas de Wit,et al.  An exponentially stable adaptive control for force and position tracking of robot manipulators , 1999, IEEE Trans. Autom. Control..