Sliding mode control of robotic arms with deadzone

In this study, a sliding mode controller is designed for the regulation of robotic arms with unknown behaviours in the deadzone and gravity. The sliding mode strategy is employed to compensate the unknown behaviours. Furthermore, the asymptotic stability of the controller is guaranteed by the Lyapunov technique. The application in two robotic arms shows the effectiveness of the proposed technique.

[1]  Hamid Reza Karimi,et al.  Adaptive sliding mode reliable control for switched systems with actuator degradation , 2015 .

[2]  Jangmyung Lee,et al.  Finite-time sliding surface constrained control for a robot manipulator with an unknown deadzone and disturbance. , 2016, ISA transactions.

[3]  Yonggui Kao,et al.  Observer-Based $$H_\infty $$H∞ Sliding Mode Controller Design for Uncertain Stochastic Singular Time-Delay Systems , 2016, Circuits Syst. Signal Process..

[4]  Hamid Reza Karimi,et al.  State feedback control against sensor faults for Lipschitz nonlinear systems via new sliding mode observer techniques , 2011, IEEE Conference on Decision and Control and European Control Conference.

[5]  Pedro Castillo,et al.  Attitude control of quadrotors based on fractional sliding modes: theory and experiments , 2016 .

[6]  José de Jesús Rubio,et al.  Mathematical model with sensor and actuator for a transelevator , 2014, Neural Computing and Applications.

[7]  Mingyu Wang,et al.  Approximation-Based Adaptive Tracking Control for MIMO Nonlinear Systems With Input Saturation , 2015, IEEE Transactions on Cybernetics.

[8]  Chun-Yi Su,et al.  Adaptive tracking of nonlinear systems with non-symmetric dead-zone input , 2007, Autom..

[9]  Wei He,et al.  Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.

[10]  Michael V. Basin,et al.  A Supertwisting Algorithm for Systems of Dimension More Than One , 2014, IEEE Transactions on Industrial Electronics.

[11]  M. Badamchizadeh,et al.  Adaptive fractional-order non-singular fast terminal sliding mode control for robot manipulators , 2016 .

[12]  Hamid Reza Karimi,et al.  Robust Control of Stochastic Systems Against Bounded Disturbances With Application to Flight Control , 2014, IEEE Transactions on Industrial Electronics.

[13]  S. Arabia,et al.  Systems of Navier-Stokes equations on Cantor sets , 2013 .

[14]  Bing Chen,et al.  Distributed adaptive coordination control for uncertain nonlinear multi-agent systems with dead-zone input , 2016, J. Frankl. Inst..

[15]  Changyin Sun,et al.  Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[16]  Michael V. Basin,et al.  Sliding Mode Controller Design for Stochastic Polynomial Systems With Unmeasured States , 2014, IEEE Transactions on Industrial Electronics.

[17]  Peng Shi,et al.  Fault-Tolerant Control for Nonlinear Markovian Jump Systems via Proportional and Derivative Sliding Mode Observer Technique , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[18]  Changyin Sun,et al.  Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[19]  Xiong Xiao,et al.  NEW ADAPTIVE SLIDING-MODE OBSERVER DESIGN FOR SENSORLESS CONTROL OF PMSM IN ELECTRIC VEHICLE DRIVE SYSTEM , 2016 .

[20]  Shengyuan Xu,et al.  Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[21]  José de Jesús Rubio,et al.  Adaptive least square control in discrete time of robotic arms , 2015, Soft Comput..

[22]  Yonggui Kao,et al.  A sliding mode approach to H∞ non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems , 2015, Autom..

[23]  Jose Humberto Perez Cruz,et al.  Control of Uncertain Plants with Unknown Deadzone via Differential Neural Networks , 2015, IEEE Latin America Transactions.

[24]  Steven X. Ding,et al.  Finite-time-convergent fault-tolerant control for dynamical systems and its experimental verification for DTS200 three-tank system , 2015 .

[25]  S. H. Park,et al.  Robust-tracking control for robot manipulator with deadzone and friction using backstepping and RFNN controller , 2011 .

[26]  Jang-Myung Lee,et al.  Adaptive Fuzzy Dynamic Surface Sliding Mode Position Control for a Robot Manipulator with Friction and Deadzone , 2013 .

[27]  Zongyu Zuo,et al.  L1 adaptive control of uncertain gear transmission servo systems with deadzone nonlinearity. , 2015, ISA transactions.

[28]  Bo Wang,et al.  Fuzzy sliding mode control design for a class of disturbed systems , 2014, J. Frankl. Inst..

[29]  Michael V. Basin,et al.  A nonhomogeneous super-twisting algorithm for systems of relative degree more than one , 2015, J. Frankl. Inst..

[30]  José de Jesús Rubio,et al.  Dynamic model with sensor and actuator for an articulated robotic arm , 2012, Neural Computing and Applications.

[31]  Wenxiang Deng,et al.  Robust adaptive asymptotic tracking control of a class of nonlinear systems with unknown input dead-zone , 2015, J. Frankl. Inst..

[32]  Wei He,et al.  Adaptive neural network control of coordinated robotic manipulators with output constraint , 2016 .

[33]  Zongquan Deng,et al.  Global robust finite-time stabilisation of unknown pure-feedback systems with input dead-zone non-linearity , 2016 .

[34]  Ligang Wu,et al.  Observer-based adaptive sliding mode control for nonlinear Markovian jump systems , 2016, Autom..