Abstract
In this paper, new sufficient conditions for safe motion/force tracking control of robotic systems under unknown environment are proposed. The asymptotic stability conditions are proved using a Lyapunov impedance approach and the relationship between the error dynamics of the robotic system and its energy. A 3DOF manipulator constrained to a circular trajectory is finally used to validate the stability, the robustness and the safety of the proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xu, G., Song, A., Li, H.: Control System Design for an Upper-limb Rehabilitation Robot. Advanced Robotics 25, 229–251 (2011)
Mehdi, H., Boubaker, O.: Rehabilitation of a Human Arm Supported by a Robotic Manipulator: A Position/force cooperative control. Journal of Computer Science 6, 912–919 (2010)
Ju, M.S., Lin, C.C.K., Lin, D.H., Hwang, I.S., Chen, S.M.: A Rehabilitation Robot with Force Position Hybrid Fuzzy Controller: Hybrid Fuzzy Control of Rehabilitation Robot. IEEE Transactions on Neural Systems and Rehabilitation Engineering 13, 349–358 (2005)
Herrmann, G., Melhuish, C.: Towards Safety in Human Robot Interaction. International Journal of Social Robotics 2, 217–219 (2010)
Vermeulen, M., Wisse, M.: Intrinsically Safe Robot Arm: Adjustable Static Balancing and Low Power Actuation. International Journal of Social Robotics 2, 275–288 (2010)
Van Damme, M., Beyl, P., Vanderborght, B., Versluys, R., Van Ham, R., Vanderniepen, I., Daerden, F., Lefeber, D.: The Safety of a Robot Actuated by Pneumatic Muscles—A Case Study. International Journal of Social Robotics 2, 289–303 (2010)
Mehdi, H., Boubaker, O.: Position/force Control for Constrained Robotic Systems: A Lyapunov Approach. In: IEEE/RSJ International Symposium on Robotics and Intelligent Sensors (IRIS 2010), pp. 299–304. IEEE Press, New York (2010)
Khan, S.G., Herrmann, G., Pipe, T., Melhuish, C., Spiers, A.: Safe Adaptive Compliance Control of a Humanoid Robotic Arm with Anti-Windup Compensation and Posture Control. International Journal of Social Robotics 2, 305–319 (2010)
Mehdi, H., Boubaker, O.: Stiffness and impedance control using Lyapunov theory for robot-aided rehabilitation. International Journal of Social Robotics, doi:10.1007/s12369-011-0128-5
Katic, D., Vukobratovic, M.: A Neural Network – Based Classification of Environment Dynamics Models for Compliant Control of Manipulation Robots. IEEE Transactions on Systems, Man and Cybernetics 28, 58–69 (1998)
Jung, S., Hsia, T.C.: Robust Neural Force Control Scheme under uncertainties in robot dynamics and unknown environment. IEEE Transactions on Industrial Electronics 47, 403–412 (2000)
Jung, S., Yim, S.B.: Experimental Studies of Neural Network Impedance Force Control for Robot Manipulators. In: IEEE International Conference on Robotics and Automation, pp. 3453–3458. IEEE Press, New York (2001)
Mallapragada, V., Erol, D., Sarkar, N.: A New Method of Force Control for Unknown Environments. International Journal of Advanced Robotic Systems 4, 313–322 (2007)
Kiguchi, K., Fukuda, T.: Position/Force Control of Robot Manipulators for Geometrically Unknown Objects Using Fuzzy Neural Networks. IEEE Transactions on Industrial Electronics 47(3), 641–649 (2000)
Yuksel, H., Yunus, Z.A., Nurkan, Y.: MIMO fuzzy sliding mode controlled dual arm robot in load transportation. Journal of the Franklin Institute 348, 1886–1902 (2011)
Bin, Y., Chan, S.P., Danwei, W.: Variable structure adaptive motion and force control of robot manipulators. Automatica 30, 1473–1477 (1994)
Chen, H., Xia, J.: Robust compliant assembly automation using an industrial robot. In: 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1161–1166. IEEE Press, New York (2011)
Hun, Q., Xu, L., Zhang, A.: Adaptive backstepping trajectory tracking control of robot manipulator. Journal of the Franklin Institute 349, 1087–1105 (2012)
Luo, R.C., Huang, H.B., Yi, C.Y., Perng, Y.W.: Adaptive impedance control for safe robot manipulator. In: World Congress on Intelligent Control and Automation. IEEE Press, New York (2011)
Jalani, J., Khan, S.G., Herrmann, G., Melhuish, C.: A Novel Approach of Robust Active Compliance for Robot Fingers. In: Li, T.-H.S., Tu, K.-Y., Tsai, C.-C., Hsu, C.-C., Tseng, C.-C., Vadakkepat, P., Baltes, J., Anderson, J., Wong, C.-C., Jesse, N., Kuo, C.-H., Yang, H.-C. (eds.) FIRA 2011. CCIS, vol. 212, pp. 50–57. Springer, Heidelberg (2011)
Chiaverini, S., Siciliano, B., Villani, L.: A survey of robot interaction control schemes with experimental comparison. IEEE/ASME Transactions on Mechatronics 4, 273–285 (1999)
Slotine, J.J.E., Li, W.: Applied Nonlinear Control. Prentice Hall (1991)
Mehdi, H., Boubaker, O.: Impedance controller tuned by particle swarm optimization for robotic arms. International Journal of Advanced Robotic Systems 8, 93–103 (2011)
Aloulou, A., Boubaker, O.: Control of a step walking combined to arms swinging for a three dimensional humanoid prototype. Journal of Computer Science 6, 886–895 (2010)
Aloulou, A., Boubaker, O.: Minimum Jerk-Based Control for a Three Dimensional Bipedal Robot. In: Jeschke, S., Liu, H., Schilberg, D. (eds.) ICIRA 2011, Part II. LNCS, vol. 7102, pp. 251–262. Springer, Heidelberg (2011)
Arous, Y., Boubaker, O.: Gait Trajectory Generation for a Five Link Bipedal Robot Based on a Reduced Dynamical Model. In: 16th IEEE Mediterranean Electro-technical Conference, pp. 993–996. IEEE Press, New York (2012)
Mehdi, H., Boubaker, O.: Position/force Control Optimized by Particle Swarm Intelligence for Constrained Robotic Manipulators. In: 11th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2011), pp. 190–195. IEEE Press, New York (2011)
Chen, H., Xiao, J.: Robust Compliant Assembly Automation Using an Industrial Robot. In: 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1161–1166. IEEE Press, China (2011)
Ibeas, A., de la Sen, M.: Robust Impedance Control of Robotic Manipulators. In: 43rd IEEE Conference on Decision and Control, Bahamas, pp. 1258–1263 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mehdi, H., Boubaker, O. (2012). New Robust Tracking Control for Safe Constrained Robots under Unknown Impedance Environment. In: Herrmann, G., et al. Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science(), vol 7429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32527-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-32527-4_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32526-7
Online ISBN: 978-3-642-32527-4
eBook Packages: Computer ScienceComputer Science (R0)