Abstract
Aproposed sliding mode controller gain has been presented. The traditional switching function smooth method is improved by combining the smoothed switching function with the time-varying control gain. And we provide a sliding mode controller. The proposed controller has been applied to a motion trajectory tracking of mobile robot. Simulation study has been carried out to evaluate the performance of the proposed controller and to compare its performance with a recent conventional sliding mode controller performance. The simulation results showed that the proposed sliding mode controller has impressively achieved a highly performance with minimum reaching time and smooth control actions. In addition the results have proven the effectiveness and robustness of the proposed controller to achieve considerable enhancement of the motion tracking of robotics characterized by disturbances and parameter uncertainties without any obvious chattering.
Supported by Shanghai Leading Academic Discipline Project(Project Number: P1301),Shanghai Municipal Education Commission Scientific Foundation Projection (Project Number: 06LZ014), Shanghai Municipal Education Commission Scientific Foundation Projection (Project Number: K06LZ015) and Shanghai Natural Science Foundation (Project Number: 06ZR14133).
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
Ales, H., Karel, J., Asif, S.: Improved Design of VSS Controller for a Linear Belt-Driven Servomechanism. IEEE/ASME Transactions on mechatronics 10(4), 385–390 (2005)
Magdy, M., Abdelhameed: Enhancement of Sliding Mode Controller by Fuzzy Logic with Application to Robotic Manipulators. Mechatronics 15, 439–458 (2005)
Hsu, Y.C., Chen, C., Li, H.X.: A Fuzzy Adaptive Variable Structure Controller with Applications toRobot Manipulators. IEEE Trans. SMC 31(3), 331–340 (2001)
Utkin, V.I.: Variable Structure Systems with Sliding Modes. IEEE Trans. AC 22, 212–222 (1977)
Hung, J.Y., Gao, W., Hung, J.C.: Variable Structure Control: a Survey. IEEE Trans. IE 40, 1–9 (1993)
Dong, W., Kuhnert, K.D.: Robust Adaptive Control of Nonholonomic Mobile Robot with Parameter and Nonparameter Uncertainties. IEEE Transactions on Robotics and Automation 21(2), 261–266 (2005)
Hee, J.S., Kim, B.K.: A Robust Localization Algorithm for Mobile Robots with Laser Range Finders. In: ICRA: IEEE International Conference on Robotics and Automation, pp. 3545–3550. IEEE Computer Society Press, Los Alamitos (2005)
Choi, S.B., Park, D.W.: Moving Sliding Surfaces for Fast Tracking Control of Second-order Dynamic Systems. ASME J. DSMC 116, 154–158 (1994)
Choi, S.B., Kim, J.S.: A Fuzzy-sliding Mode Controller for Robust Tracking of Robotic Manipulators. Mechatronics 7, 199–216 (1997)
Sha, D., Bajic, V.B., Yang, H.: New Model and Sliding Mode Control of Hydraulic Elevator Velocity Tracking System. Simul. Pract. Theory 9, 65–85 (2002)
Ha, Q.P., Rye, D.C., Durrant-Whyte, H.F.: Fuzzy Moving Sliding Mode Control with Application to Robotic Manipulators. Automatica 35(4), 607–616 (1999)
Bonchis, A., Corke, P.I., Rye, D.C., Ha, Q.P.: Variable Structure Methods in Hydraulic Servo Systems Control. Automatica 37(4), 89–95 (2001)
Ha, Q.P., Nguyen, Q.H., Rye, D.C., Durrant-Whyte, H.F.: Fuzzy Sliding Mode Controllers with Applications. IEEE Trans. IE 48(1), 38–46 (2001)
Kaynak, O., Erbatur, K., Ertugrul, M.: The Fusion of Computationally Intelligent Methodologies and Sliding Mode Control-a Survey. IEEE Trans. IE 48(1), 4–17 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lu, X., Zhang, K., Wu, Y. (2007). Enhancement of Sliding Mode Controller by Unit Vector Continuous. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_68
Download citation
DOI: https://doi.org/10.1007/978-3-540-74282-1_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
eBook Packages: Computer ScienceComputer Science (R0)