Output-Constrained Robust Sliding Mode Based Nonlinear Active Suspension Control

The nonlinear active suspension control design can be analyzed as a multiobjective control problem that caters to the enhancement in ride comfort levels while ensuring that road holding is maintained with the constrained suspension displacement movement. In this article, a robust constrained output feedback approach employing sliding mode controllers is proposed for the nonlinear active suspension system equipped with hydraulic actuators. Adhering to mechanical design limitations, the suspension displacement and the corresponding displacement rate are constrained using asymmetric barrier Lyapunov functions. Consequently, a nonlinear control law that incorporates the first-order sliding mode control is then formulated to regulate the hydraulic valve and thereby provide an active control effort. The robust control performance with high-performance improvements for ride comfort in the presence of parametric uncertainties, sensor noise, and over variable driving velocities for different road conditions is established using simulation studies.

[1]  Zhaobo Chen,et al.  Sliding mode control with deep learning method for rotor trajectory control of active magnetic bearing system , 2018, Trans. Inst. Meas. Control.

[2]  Johannes J. H. Paulides,et al.  Active Electromagnetic Suspension System for Improved Vehicle Dynamics , 2008, IEEE Transactions on Vehicular Technology.

[3]  Huijun Gao,et al.  Adaptive Robust Vibration Control of Full-Car Active Suspensions With Electrohydraulic Actuators , 2013, IEEE Transactions on Control Systems Technology.

[4]  Saban Cetin,et al.  Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach , 2012 .

[5]  Francis Eng Hock Tay,et al.  Barrier Lyapunov Functions for the control of output-constrained nonlinear systems , 2009, Autom..

[6]  J. Voelcker The Soul Of A New Mercedes , 2008, IEEE Spectrum.

[7]  Jing Na,et al.  Approximation-Free Control for Vehicle Active Suspensions With Hydraulic Actuator , 2018, IEEE Transactions on Industrial Electronics.

[8]  Keng Peng Tee,et al.  Control of nonlinear systems with partial state constraints using a barrier Lyapunov function , 2011, Int. J. Control.

[9]  Hamid Reza Karimi,et al.  Output-Feedback-Based $H_{\infty}$ Control for Vehicle Suspension Systems With Control Delay , 2014, IEEE Transactions on Industrial Electronics.

[10]  Rajesh Rajamani,et al.  Adaptive observers for active automotive suspensions: theory and experiment , 1995, IEEE Trans. Control. Syst. Technol..

[11]  Shrivijay B. Phadke,et al.  Nonlinear Control for Dual Objective Active Suspension Systems , 2017, IEEE Transactions on Intelligent Transportation Systems.

[12]  Huijun Gao,et al.  Finite-Time Stabilization for Vehicle Active Suspension Systems With Hard Constraints , 2015, IEEE Transactions on Intelligent Transportation Systems.

[13]  Huijun Gao,et al.  Vibration Isolation for Active Suspensions With Performance Constraints and Actuator Saturation , 2015, IEEE/ASME Transactions on Mechatronics.

[14]  Charles Poussot-Vassal,et al.  Attitude and Handling Improvements Through Gain-scheduled Suspensions and Brakes Control , 2008 .

[15]  Hong Chen,et al.  Disturbance attenuation control of active suspension with non-linear actuator dynamics , 2011 .

[16]  Honghai Liu,et al.  Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach , 2013, IEEE Transactions on Industrial Electronics.

[17]  Xiaozhan Yang,et al.  Fuzzy control of nonlinear electromagnetic suspension systems , 2014 .

[18]  Hui Zhang,et al.  Robust H∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system , 2014 .

[19]  Jaime A. Moreno,et al.  Strict Lyapunov Functions for the Super-Twisting Algorithm , 2012, IEEE Transactions on Automatic Control.

[20]  Yifu Zhang,et al.  Multi-objective control for uncertain nonlinear active suspension systems , 2014 .

[21]  Hamid Reza Karimi,et al.  Output Feedback Active Suspension Control With Higher Order Terminal Sliding Mode , 2017, IEEE Transactions on Industrial Electronics.

[22]  P. S. Els,et al.  Slow active suspension control for rollover prevention , 2013 .

[23]  Zongxia Jiao,et al.  Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping , 2014, IEEE Transactions on Industrial Electronics.

[24]  Rongrong Wang,et al.  Robust fault-tolerant H ∞ control of active suspension systems with finite-frequency constraint , 2015 .

[25]  Weichao Sun,et al.  Nonlinear Robust Control of Antilock Braking Systems Assisted by Active Suspensions for Automobile , 2019, IEEE Transactions on Control Systems Technology.

[26]  Nurkan Yagiz,et al.  Fuzzy Sliding-Mode Control of Active Suspensions , 2008, IEEE Transactions on Industrial Electronics.

[27]  Jaime A. Moreno,et al.  A Lyapunov approach to second-order sliding mode controllers and observers , 2008, 2008 47th IEEE Conference on Decision and Control.

[28]  Arkadiusz Mystkowski,et al.  Lyapunov Sliding-Mode Observers With Application for Active Magnetic Bearing Operated With Zero-Bias Flux , 2019, Journal of Dynamic Systems, Measurement, and Control.

[29]  Lingfei Xiao,et al.  Sliding-mode output feedback control for active suspension with nonlinear actuator dynamics , 2015 .

[30]  Guido Koch,et al.  Adaptive control of mechatronic vehicle suspension systems , 2011 .

[31]  Henk Nijmeijer,et al.  Robust control of an electromagnetic active suspension system: Simulations and measurements , 2013 .

[32]  James Lam,et al.  Multi-objective control of vehicle active suspension systems via load-dependent controllers , 2006 .