Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

An extended-state-observer-based double-loop integral sliding-mode controller for electronic throttle (ET) is proposed by factoring the gear backlash torque and external disturbance to circumvent the parametric uncertainties and nonlinearities. The extended state observer is designed based on a nonlinear model of ET to estimate the change of throttle opening angle and total disturbance. A double-loop integral sliding-mode controller consisting of an inner loop and an outer loop is presented based on the opening angle and opening angle change errors of ET through Lyapunov stability theory. Numerical experiments are conducted using simulation. The results show that the accuracy and the response time of the proposed controller are better than those of the back-stepping and sliding mode control.

[1]  Leonid M. Fridman,et al.  Integral sliding-mode control for linear time-invariant implicit systems , 2014, Autom..

[2]  B. Guo,et al.  On convergence of non-linear extended state observer for multi-input multi-output systems with uncertainty , 2012 .

[3]  Petros A. Ioannou,et al.  Throttle and Brake Control Systems for Automatic Vehicle following , 1994, J. Intell. Transp. Syst..

[4]  Wei Sun,et al.  Neural Network Based Self-Learning Control Strategy for Electronic Throttle Valve , 2010, IEEE Transactions on Vehicular Technology.

[5]  Lihua Xie,et al.  Rejecting high frequency disturbances with disturbance observer and phase stabilized control , 2008 .

[6]  Liao Xiao-yong Research Summary on Transportation Cyber Physical Systems and the Challenging Technologies , 2013 .

[7]  Vicente Milanés Montero,et al.  Cooperative Adaptive Cruise Control in Real Traffic Situations , 2014, IEEE Transactions on Intelligent Transportation Systems.

[8]  Yaonan Wang,et al.  Neural networks based self-learning PID control of electronic throttle , 2009 .

[9]  Stephen A. Billings,et al.  A comparison of the backpropagation and recursive prediction error algorithms for training neural networks , 1991 .

[10]  Nor Ashidi Mat Isa,et al.  Modified Recursive Least Squares algorithm to train the Hybrid Multilayered Perceptron (HMLP) network , 2010, Appl. Soft Comput..

[11]  Chi-Hsu Wang,et al.  A New Intelligent Fuzzy Controller for Nonlinear Hysteretic Electronic Throttle in Modern Intelligent Automobiles , 2013, IEEE Transactions on Industrial Electronics.

[12]  J.K. Hedrick,et al.  Longitudinal Vehicle Controller Design for IVHS Systems , 1991, 1991 American Control Conference.

[13]  Huei Peng,et al.  Control of Integrated Powertrain With Electronic Throttle and Automatic Transmission , 2007, IEEE Transactions on Control Systems Technology.

[14]  Xiangning He,et al.  New Sliding-Mode Observer for Position Sensorless Control of Permanent-Magnet Synchronous Motor , 2013, IEEE Transactions on Industrial Electronics.

[15]  Wei Sun,et al.  RBF Networks-Based Adaptive Inverse Model Control System for Electronic Throttle , 2010, IEEE Transactions on Control Systems Technology.

[16]  Mato Baotic,et al.  Hybrid Theory-Based Time-Optimal Control of an Electronic Throttle , 2007, IEEE Transactions on Industrial Electronics.

[17]  Zongxia Jiao,et al.  Adaptive Robust Control of DC Motors With Extended State Observer , 2014, IEEE Transactions on Industrial Electronics.

[18]  Muhammed Fazlur Rahman,et al.  Comparison of a Sliding Observer and a Kalman Filter for Direct-Torque-Controlled IPM Synchronous Motor Drives , 2012, IEEE Transactions on Industrial Electronics.

[19]  Kaspar Althoefer,et al.  A new three-term backpropagation algorithm with convergence analysis , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[20]  Long Wu,et al.  An Adaptive Quasi-Sliding-Mode Rotor Position Observer-Based Sensorless Control for Interior Permanent Magnet Synchronous Machines , 2013, IEEE Transactions on Power Electronics.

[21]  Dianguo Xu,et al.  DSP-Based Control of Sensorless IPMSM Drives for Wide-Speed-Range Operation , 2013, IEEE Transactions on Industrial Electronics.

[22]  Stephen Shaoyi Liao,et al.  The Process of Information Propagation Along a Traffic Stream Through Intervehicle Communication , 2014, IEEE Transactions on Intelligent Transportation Systems.

[23]  Bart De Schutter,et al.  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Editor-In-Chief , 2005 .

[24]  Wang Sheng,et al.  Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle , 2013 .

[25]  Leonid M. Fridman,et al.  Cascade control of PM-DC drives via second-order sliding mode technique , 2008, 2008 International Workshop on Variable Structure Systems.

[26]  Yaonan Wang,et al.  A Novel Electronic-Throttle-Valve Controller Based on Approximate Model Method , 2009, IEEE Transactions on Industrial Electronics.

[27]  P. Mercorelli A Hysteresis Hybrid Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines , 2012, IEEE Transactions on Industry Applications.

[28]  Wang Yaonan,et al.  RBF Networks-Based Adaptive Inverse Model Control System for Electronic Throttle , 2010, IEEE Transactions on Control Systems Technology.

[29]  A. Yadav,et al.  Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade , 2014 .

[30]  Kun Li,et al.  Modeling of traffic flow of automated vehicles , 2004, IEEE Transactions on Intelligent Transportation Systems.

[31]  Michael Defoort,et al.  Hybrid sliding mode observer for switched linear systems with unknown inputs , 2014, J. Frankl. Inst..

[32]  N. Peric,et al.  An electronic throttle control strategy including compensation of friction and limp-home effects , 2004, IEEE Transactions on Industry Applications.

[33]  Tielong Shen,et al.  An Adaptive Servo Control Strategy for Automotive Electronic Throttle and Experimental Validation , 2014, IEEE Transactions on Industrial Electronics.

[34]  Nathan van de Wouw,et al.  Lp String Stability of Cascaded Systems: Application to Vehicle Platooning , 2014, IEEE Transactions on Control Systems Technology.

[35]  Chen Xue-yun A design method of nonlinear extension state observer , 2001 .

[36]  Faa-Jeng Lin,et al.  Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system , 2011 .

[37]  Ligang Wu,et al.  Sliding mode control with bounded L2 gain performance of Markovian jump singular time-delay systems , 2012, Autom..

[38]  Paolo Mercorelli,et al.  An Antisaturating Adaptive Preaction and a Slide Surface to Achieve Soft Landing Control for Electromagnetic Actuators , 2012, IEEE/ASME Transactions on Mechatronics.

[39]  Nedjeljko Peric,et al.  Neural network-based sliding mode control of electronic throttle , 2005, Eng. Appl. Artif. Intell..

[40]  Feng Gao,et al.  Practical String Stability of Platoon of Adaptive Cruise Control Vehicles , 2011, IEEE Transactions on Intelligent Transportation Systems.

[41]  Yaodong Pan,et al.  Variable-Structure Control of Electronic Throttle Valve , 2008, IEEE Transactions on Industrial Electronics.

[42]  Mario Vasak,et al.  Constrained optimal control of an electronic throttle , 2006 .

[43]  Satish V. Ukkusuri,et al.  Special Issue on Exploiting Wireless Communication Technologies in Vehicular Transportation Networks , 2011, IEEE Trans. Intell. Transp. Syst..

[44]  Jun Yang,et al.  Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties , 2012, IEEE Transactions on Industrial Electronics.

[45]  Rou-Yong Duan,et al.  Cascade Modeling and Intelligent Control Design for an Electromagnetic Guiding System , 2011, IEEE/ASME Transactions on Mechatronics.

[46]  Paolo Mercorelli,et al.  A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines , 2012, IEEE Transactions on Industrial Electronics.

[47]  Song Tong-hao Control of electronic throttle based on backstepping approach , 2011 .