Output Feedback Control of Antilock Braking System
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This paper deals with the problem of output feedback control for Anti-lock Braking System (ABS). Most of the previous works, dedicated to ABS control, have been developed on the assumption that all the state variables are accessible for measurement by physical sensors. However, this assumption is hardly ensured in practice for the vehicle linear speed and the braking moment in particular. Actually, in order to avoid using these sensors, the proposed ABS controller is developed based on a nonlinear state observer for online estimation of the vehicle speed as well as the braking torque by exploiting only the wheel angular speed measurement. Based on a quarter vehicle model, the proposed ABS output feedback controller is designed using the backstepping technique in order to optimize braking performances in the presence of wide variations, in road conditions. By using tools from the Lyapunov stability, it is formally shown that the closed-loop control system enjoys a global stability. Accordingly, it is possible to tune the controller design parameters so that it meets its objectives with high accuracy. Using Matlab/Simulink, these theoretical results are confirmed by simulations involving a wide range variation of the road conditions. The supremacy of the proposed controller with respect to standard control solutions is also illustrated through simulation.
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H. Mirzaeinejad, Robust predictive control of wheel slip in antilock braking systems based on radial basis function neural network, Appl. Soft Comput. J., vol. 70, pp. 318-329, 2018.
O. T. Nyandoro, J. O. Pedro, O. A. Dahunsi, and B. Dwolatzky, Linear slip control formulation for vehicular anti-lock braking system with suspension effects, IFAC Proceding, pp. 4779-4784, 2011.
J.-S. Lin ; W.-E. Ting, Nonlinear control design of anti-lock braking systems with assistance of active suspension, IET Control Theory Appl., vol. 1, no. 1, pp. 263-268, 2007.
Batayneh, W., Bataineh, A., Jaradat, M., Intelligent Adaptive Fuzzy Logic Genetic Algorithm Controller for Anti-Lock Braking System, (2021) International Review on Modelling and Simulations (IREMOS), 14 (1), pp. 44-54.
J. P. Fernández, M. A. Vargas, J. M. V. García, J. A. C. Carrillo and J. J. C. Aguilar, Coevolutionary Optimization of a Fuzzy Logic Controller for Antilock Braking Systems Under Changing Road Conditions, IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1255-1268, Feb. 2021.
P. Vogt, E. Lenz, A. Klug, H. Westerfeld, and U. Konigorski, Robust Two-Degree-of-Freedom Wheel Slip Controller Structure for Anti-lock Braking, IFAC-PapersOnLine, pp. 431-437, 2019.
T. A. Johansen, S. Member, I. Petersen, and J. Kalkkuhl, Gain-Scheduled Wheel Slip Control in Automotive Brake Systems, IEEE Trans. Control Syst. Technol., vol. 11, no. 6, pp. 799-811, 2003.
J. El-Bakkouri, H. Ouadi and A. Saad, Adaptive Backstepping Control of Antilock Braking System Based on LuGre Model, IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6.
A. Manivanna Boopathi and A. Abudhahir, Design of grey-verhulst sliding mode controller for antilock braking system, Int. J. Control. Autom. Syst., vol. 14, no. 3, pp. 763-772, 2016.
Y. He, C. Lu, and C. Yuan, A second-order slip model for constraint backstepping control of antilock braking system based on Burckhardt's model, Int. J. Model. Simul., vol. 40, no. 2, pp. 130-142, 2020.
S. John and J. O. Pedro, Hybrid feedback linearization slip control for anti-lock braking system, Acta Polytech. Hungarica, vol. 10, no. 1, pp. 81-99, 2013.
L. Jin, P. Chen, R. Zhang, and M. Ling, Longitudinal velocity estimation based on fuzzy logic for electronic stability control system, Adv. Mech. Eng., vol. 9, no. 5, pp. 1-12, 2017.
J. El-Bakkouri, H. Ouadi, and A. Saad, Extended Luenberger Observer for ABS Braking System, Int. Conf. Electr. Inf. Technol. ICEIT 2020, pp. 0-5, 2020.
L. H. Zhao, Z. Y. Liu, and H. Chen, Design of a nonlinear observer for vehicle velocity estimation and experiments, IEEE Trans. Control Syst. Technol., vol. 19, no. 3, pp. 664-672, 2011.
S. You, J. Gil and W. Kim, Fixed-Time Slip Control With Extended-State Observer Using Only Wheel Speed for Anti-Lock Braking Systems of Electric Vehicles, IEEE Transactions on Intelligent Transportation Systems, Feb. 2021.
S. Rafatnia and M. Mirzaei, Adaptive Estimation of Vehicle Velocity From Updated Dynamic Model for Control of Anti-Lock Braking System, IEEE Transactions on Intelligent Transportation Systems, March 2021.
Rached, B., Elharoussi, M., Abdelmounim, E., DSP in the Loop Implementation of Sliding Mode and Super Twisting Sliding Mode Controllers Combined with an Extended Kalman Observer for Wind Energy System Involving a DFIG, (2020) International Journal on Energy Conversion (IRECON), 8 (1), pp. 26-37.
Hassan, M., Humaidi, A., Hamza, M., On the Design of Backstepping Controller for Acrobot System Based on Adaptive Observer, (2020) International Review of Electrical Engineering (IREE), 15 (4), pp. 328-335.
El Malah, M., Ba-razzouk, A., Abdelmounim, E., Madark, M., Robust Nonlinear Sensorless MPPT Control with Unity Power Factor for Grid Connected DFIG Wind Turbines, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 313-324.
Chalawane, H., Essadki, A., Nasser, T., Impact of Increasing Stator Resistance on Active Disturbance Rejection Control Based Sensorless Induction Motor Compared with a Conventional PI and Fuzzy Logic Control, (2018) International Review of Automatic Control (IREACO), 11 (5), pp. 217-225.
S. Rajendran, S. K. Spurgeon, G. Tsampardoukas, and R. Hampson, Estimation of road frictional force and wheel slip for effective antilock braking system (ABS) control, Int. J. Robust Nonlinear Control, vol. 29, no. 3, pp. 736-765, 2019.
M. Tanelli, A. Astolfi, and S. M. Savaresi, Robust nonlinear output feedback control for brake by wire control systems, Automatica, vol. 44, no. 4, pp. 1078-1087, 2008.
B. Moaveni, M. K. R. Abad, and S. Nasiri, Vehicle longitudinal velocity estimation during the braking process using unknown input Kalman filter, Veh. Syst. Dyn., vol. 53, no. 10, pp. 1373-1392, 2015.
W. Y. Wang, I. H. Li, M. C. Chen, S. F. Su, and S. B. Hsu, Dynamic slip-ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller, IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1746-1756, 2009.
Hassan K.Khalil, Nonlinear control, global edition. (Pearson, 2015).
Aichi, B., Bourahla, M., Kendouci, K., High-Performance Speed Control of Induction Motor Using a Variable Gains Backstepping: Experimental Validation, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 342-351.
Alnuaimi, M., Perhinschi, M., Al-Sinbol, G., Immunity-Based Framework for Autonomous Flight in GNSS-Denied Environment, (2019) International Review of Aerospace Engineering (IREASE), 12 (6), pp. 239-249.
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