A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

Note that the amplitude of chattering existing in the sliding mode control method is proportional to the magnitude of the control gain. Therefore, the key issue to diminish the chattering is to decrease the value of sliding mode controller's gain to an acceptable minimal level defined by the so‐called reaching condition for the sliding mode's existence. For this reason, the nonsingular terminal sliding mode (NTSM) control method and the adaptive technique have been considered in this paper to develop a novel adaptive NTSM control method, which can be used to search the minimal value of the control gain automatically in the presence of the external disturbances. Meanwhile, the average value of a high‐frequency switching signal in the adaptive law can be provided by Arie Levant's differentiator rather than a low‐pass filter. The rigorous mathematical proof verifies that the system states can converge to the origin within a finite time under the proposed adaptive NTSM controller. Both the academic example and the practical application to an active front steering system are illustrated to show that the presented adaptive NTSM controller has better control performance than the conventional sliding mode controller.

[1]  Aleksej F. Filippov,et al.  Differential Equations with Discontinuous Righthand Sides , 1988, Mathematics and Its Applications.

[2]  Vadim I. Utkin,et al.  Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[3]  Xinghuo Yu,et al.  Terminal sliding mode control of MIMO linear systems , 1997 .

[4]  Yu Tang,et al.  Terminal sliding mode control for rigid robots , 1998, Autom..

[5]  Dennis S. Bernstein,et al.  Finite-Time Stability of Continuous Autonomous Systems , 2000, SIAM J. Control. Optim..

[6]  Wei Lin,et al.  A continuous feedback approach to global strong stabilization of nonlinear systems , 2001, IEEE Trans. Autom. Control..

[7]  Zhihong Man,et al.  Non-singular terminal sliding mode control of rigid manipulators , 2002, Autom..

[8]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[9]  Zhihong Man,et al.  Continuous finite-time control for robotic manipulators with terminal sliding mode , 2003, Autom..

[10]  Masato Abe,et al.  Vehicle Handling Dynamics: Theory and Application , 2009 .

[11]  Christopher Edwards,et al.  Sliding Mode Control and Observation , 2013 .

[12]  Vadim I. Utkin,et al.  Adaptive sliding mode control with application to super-twist algorithm: Equivalent control method , 2013, Autom..

[13]  Y. Cao,et al.  An Output-Tracking-Based Discrete PID-Sliding Mode Control for MIMO Systems , 2014, IEEE/ASME Transactions on Mechatronics.

[14]  Faa-Jeng Lin,et al.  An Intelligent Second-Order Sliding-Mode Control for an Electric Power Steering System Using a Wavelet Fuzzy Neural Network , 2014, IEEE Transactions on Fuzzy Systems.

[15]  Zhenwei Cao,et al.  Intelligent Sensorless ABS for In-Wheel Electric Vehicles , 2014, IEEE Transactions on Industrial Electronics.

[16]  Guanghui Wen,et al.  Finite-time consensus of multiple nonholonomic chained-form systems based on recursive distributed observer , 2015, Autom..

[17]  Antonella Ferrara,et al.  Adaptive suboptimal second-order sliding mode control for microgrids , 2016, Int. J. Control.

[18]  Arie Levant,et al.  Simple homogeneous sliding-mode controller , 2016, Autom..

[19]  Xinghuo Yu,et al.  Chattering-free discrete-time sliding mode control , 2016, Autom..

[20]  Hak-Keung Lam,et al.  Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[21]  Donghua Zhou,et al.  A novel sliding mode observer for state and fault estimation in systems not satisfying matching and minimum phase conditions , 2017, Autom..

[22]  Ting Li,et al.  A new approach to fast global finite-time stabilization of high-order nonlinear system , 2017, Autom..

[23]  Antonella Ferrara,et al.  Second order sliding mode control for nonlinear affine systems with quantized uncertainty , 2017, Autom..

[24]  Wei Xing Zheng,et al.  Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles , 2017, IEEE Transactions on Industrial Electronics.

[25]  Lu Liu,et al.  Second‐order sliding mode controller design subject to mismatched unbounded perturbations , 2017 .

[26]  Yuxin Zhao,et al.  Sliding mode control of continuous-time Markovian jump systems with digital data transmission , 2017, Autom..

[27]  Leonid M. Fridman,et al.  Design of Continuous Twisting Algorithm , 2017, Autom..

[28]  Zhuo Wang,et al.  Adaptive disturbance attenuation for generalized high-order uncertain nonlinear systems , 2017, Autom..

[29]  Zhengtao Ding,et al.  Global output regulation for a class of lower triangular nonlinear systems: A feedback domination approach , 2017, Autom..

[30]  Shihua Li,et al.  Prescribed-Time Second-Order Sliding Mode Controller Design Subject to Mismatched Term , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[31]  Xinghuo Yu,et al.  Sliding-Mode-Based Differentiation and Filtering , 2018, IEEE Transactions on Automatic Control.

[32]  Tingting Zhao,et al.  Integrated stability control of AFS and DYC for electric vehicle based on non-smooth control , 2018, Int. J. Syst. Sci..

[33]  Hong Wang,et al.  Stabilization of chaotic systems under variable sampling and state quantized controller , 2017, Fuzzy Sets Syst..

[34]  Shengyuan Xu,et al.  Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations , 2018, IEEE Transactions on Automatic Control.

[35]  Li Quan,et al.  Multimode Optimization Design Methodology for a Flux-Controllable Stator Permanent Magnet Memory Motor Considering Driving Cycles , 2018, IEEE Transactions on Industrial Electronics.

[36]  Haibo He,et al.  Dynamic Behavior of Terminal Sliding Mode Control , 2018, IEEE Transactions on Industrial Electronics.

[37]  Zhihong Man,et al.  Continuous Fast Nonsingular Terminal Sliding Mode Control of Automotive Electronic Throttle Systems Using Finite-Time Exact Observer , 2018, IEEE Transactions on Industrial Electronics.

[38]  Hamid Reza Karimi,et al.  Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems , 2018, IEEE Transactions on Fuzzy Systems.

[39]  Guanghui Wen,et al.  Discrete-Time Fast Terminal Sliding Mode Control for Permanent Magnet Linear Motor , 2018, IEEE Transactions on Industrial Electronics.

[40]  Jinya Su,et al.  Further results on "Reduced order disturbance observer for discrete-time linear systems" , 2018, Autom..

[41]  Antonella Ferrara,et al.  Practical second order sliding modes in single-loop networked control of nonlinear systems , 2018, Autom..

[42]  Wenhai Qi,et al.  Observer-Based Adaptive SMC for Nonlinear Uncertain Singular Semi-Markov Jump Systems With Applications to DC Motor , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[43]  Guoshan Zhang,et al.  Fast terminal sliding‐mode finite‐time tracking control with differential evolution optimization algorithm using integral chain differentiator in uncertain nonlinear systems , 2018 .

[44]  Xinghuo Yu,et al.  Continuous Output Feedback TSM Control for Uncertain Systems With a DC–AC Inverter Example , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.

[45]  Li Quan,et al.  Active Disturbance Rejection Controller for Speed Control of Electrical Drives Using Phase-Locking Loop Observer , 2019, IEEE Transactions on Industrial Electronics.

[46]  Shihua Li,et al.  A New Second-Order Sliding Mode and Its Application to Nonlinear Constrained Systems , 2019, IEEE Transactions on Automatic Control.

[47]  David J. Murray-Smith,et al.  Disturbance Observer Design for Nonlinear Systems Represented by Input–Output Models , 2020, IEEE Transactions on Industrial Electronics.

[48]  Jinde Cao,et al.  Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs , 2020, IEEE Transactions on Cybernetics.

[49]  Jinde Cao,et al.  A Fuzzy Lyapunov Function Approach to Positive Ll Observer Design for Positive Fuzzy Semi-Markovian Switching Systems With Its Application , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.