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Taehyun Shim - One of the best experts on this subject based on the ideXlab platform.

  • Effective Brake Torque Allocation in Regenerative Braking System Considering Shaft Vibration Using Model Predictive Control
    Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Roboti, 2015
    Co-Authors: Bhushan Naik, Taehyun Shim
    Abstract:

    A regenerative Brake system is an effective way of recovering energy that would be lost as heat during Brake operation, and such systems are widely used in hybrid and electric vehicles. This paper presents a multi-objective method for allocating Brake Torque between the hydraulic and regenerative Brake systems using model predictive control. The proposed control method has two objectives: bandwidth-based Torque allocation and reduction in driveshaft vibrations. A quarter-car model with a PMSM electric drive system is used to investigate this control method’s effectiveness. The simulation results show that the vehicle stopping distance and the drive shaft vibrations will be reduced with the proposed control strategy.Copyright © 2015 by ASME

  • integrated control of wheel drive Brake Torque for vehicle handling enhancement
    Proceedings of the Institution of Mechanical Engineers. Part D Journal of automobile engineering, 2009
    Co-Authors: Chinar Ghike, Taehyun Shim, Jahan Asgari
    Abstract:

    AbstractWheel Torque control is an effective means of improving vehicle handling and stability. Brake-based electronic stability programs which intervene in extreme situations to regulate vehicle behaviour are the most common form of wheel Torque control. With the advent of advanced driveline technologies, wheel Torque control can also be achieved by the differential distribution of available drive Torque to all four wheels. Similarly, in combined cornering and braking manoeuvres, the applied Brake input can be differentially distributed to regulate vehicle handling. This paper proposes an integrated scheme for wheel Torque control that combines differential drive or Brake Torque distribution with the emergency braking control to regulate the vehicle yaw rate and side-slip angle. A wheel Torque controller was developed using a non-linear predictive control theory, an eight-degrees-of-freedom vehicle model, and non-linear tyre models. The simulated vehicle responses show improved vehicle-handling performance.

  • Integrated control of wheel drive―Brake Torque for vehicle-handling enhancement
    Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 2009
    Co-Authors: Chinar Ghike, Taehyun Shim, Jahan Asgari
    Abstract:

    AbstractWheel Torque control is an effective means of improving vehicle handling and stability. Brake-based electronic stability programs which intervene in extreme situations to regulate vehicle behaviour are the most common form of wheel Torque control. With the advent of advanced driveline technologies, wheel Torque control can also be achieved by the differential distribution of available drive Torque to all four wheels. Similarly, in combined cornering and braking manoeuvres, the applied Brake input can be differentially distributed to regulate vehicle handling. This paper proposes an integrated scheme for wheel Torque control that combines differential drive or Brake Torque distribution with the emergency braking control to regulate the vehicle yaw rate and side-slip angle. A wheel Torque controller was developed using a non-linear predictive control theory, an eight-degrees-of-freedom vehicle model, and non-linear tyre models. The simulated vehicle responses show improved vehicle-handling performance.

  • investigation of sliding surface design on the performance of sliding mode controller in antilock braking systems
    IEEE Transactions on Vehicular Technology, 2008
    Co-Authors: Taehyun Shim, Sehyun Chang, Seok Lee
    Abstract:

    Sliding mode control (SMC) has widely been employed in the development of a wheel-slip controller because of its effectiveness in applications for nonlinear systems as well as its performance robustness on parametric and modeling uncertainties. The design of a sliding surface strongly influences the overall behavior of the SMC system due to the discontinuous switching of control force in the vicinity of a sliding surface that produces chattering. This paper investigates the effects of sliding-surface design on the performance of an SMC-based antilock braking system (ABS), including a Brake-Torque limitation, an actuator time delay, and a tire-force buildup. Different sliding-surface designs commonly used in ABS were compared, and an alternative sliding-surface design that improves convergence speed and oscillation damping around the target slip has been proposed. An 8-degree-of-freedom (dof) nonlinear vehicle model was developed for this paper, and the effects of Brake-system parameter variations, such as a Brake actuator time constant, target slip ratios, an abrupt road friction change, and road friction noises, were also assessed.

  • Distribution of Wheel Drive/Brake Torque Using Non-Linear Predictive Control to Enhance Vehicle Handling
    Dynamic Systems and Control Parts A and B, 2006
    Co-Authors: Chinar Ghike, Taehyun Shim, Jahan Asgari
    Abstract:

    Wheel Torque control is an effective means of improving vehicle handling and stability. Brake-based electronic stability programs which intervene in extreme situations to regulate vehicle behavior are the most common form of wheel Torque control. With the advent of advanced driveline technologies, wheel Torque control can also be achieved by the differential distribution of available drive Torque to all four wheels. Similarly, in combined cornering and braking maneuvers, the applied Brake input can be differentially distributed to regulate vehicle handling. This paper proposes an integrated scheme for wheel Torque control that combines differential drive/Brake Torque distribution with the emergency braking control to regulate the vehicle yaw rate and side slip angle. A wheel Torque controller was developed using a non-linear predictive control theory, 8 degree of freedom vehicle model, and nonlinear tires. The simulated vehicle responses show improved vehicle handling performance.© 2006 ASME

Seok Lee - One of the best experts on this subject based on the ideXlab platform.

  • investigation of sliding surface design on the performance of sliding mode controller in antilock braking systems
    IEEE Transactions on Vehicular Technology, 2008
    Co-Authors: Taehyun Shim, Sehyun Chang, Seok Lee
    Abstract:

    Sliding mode control (SMC) has widely been employed in the development of a wheel-slip controller because of its effectiveness in applications for nonlinear systems as well as its performance robustness on parametric and modeling uncertainties. The design of a sliding surface strongly influences the overall behavior of the SMC system due to the discontinuous switching of control force in the vicinity of a sliding surface that produces chattering. This paper investigates the effects of sliding-surface design on the performance of an SMC-based antilock braking system (ABS), including a Brake-Torque limitation, an actuator time delay, and a tire-force buildup. Different sliding-surface designs commonly used in ABS were compared, and an alternative sliding-surface design that improves convergence speed and oscillation damping around the target slip has been proposed. An 8-degree-of-freedom (dof) nonlinear vehicle model was developed for this paper, and the effects of Brake-system parameter variations, such as a Brake actuator time constant, target slip ratios, an abrupt road friction change, and road friction noises, were also assessed.

Chunfei Hsu - One of the best experts on this subject based on the ideXlab platform.

  • self learning fuzzy sliding mode control for antilock braking systems
    IEEE Transactions on Control Systems and Technology, 2003
    Co-Authors: Chihmin Lin, Chunfei Hsu
    Abstract:

    The antilock braking system (ABS) is designed to optimize braking effectiveness and maintain steerability; however, the ABS performance will be degraded in the case of severe road conditions. In this study, a self-learning fuzzy sliding-mode control (SLFSMC) design method is proposed for ABS. The SLFSMC ABS will modulate the Brake Torque for optimum braking. The SLFSMC system is comprised of a fuzzy controller and a robust controller. The fuzzy controller is designed to mimic an ideal controller and the robust controller is designed to compensate for the approximation error between the ideal controller and the fuzzy controller. The tuning algorithms of the controller are derived in the Lyapunov sense; thus, the stability of the system can be guaranteed. Also, the derivation of the proposed SLFSMC ABS does not need to use a vehicle-braking model. Simulations are performed to demonstrate the effectiveness of the proposed SLFSMC ABS in adapting to changes for various road conditions.

Damrongrit Piyabongkarn - One of the best experts on this subject based on the ideXlab platform.

  • algorithms for real time estimation of individual wheel tire road friction coefficients
    IEEE-ASME Transactions on Mechatronics, 2012
    Co-Authors: Rajesh Rajamani, Gridsada Phanomchoeng, Damrongrit Piyabongkarn
    Abstract:

    It is well recognized in the automotive research community that knowledge of the real-time tire-road friction coefficient can be extremely valuable for active safety applications, including traction control, yaw stability control and rollover prevention. Previous research results in literature have focused on the estimation of average tire-road friction coefficient for the entire vehicle. This paper explores the development of algorithms for reliable estimation of independent friction coefficients at each individual wheel of the vehicle. Three different observers are developed for the estimation of slip ratios and longitudinal tire forces, based on the types of sensors available. After estimation of slip ratio and tire force, the friction coefficient is identified using a recursive least-squares parameter identification formulation. The observers include one that utilizes engine Torque, Brake Torque, and GPS measurements, one that utilizes Torque measurements and an accelerometer and one that utilizes GPS measurements and an accelerometer. The developed algorithms are first evaluated in simulation and then evaluated experimentally on a Volvo XC90 sport utility vehicle. Experimental results demonstrate the feasibility of estimating friction coefficients at the individual wheels reliably and quickly. The sensitivities of the observers to changes in vehicle parameters are evaluated and comparisons of robustness of the observers are provided.

S. S. Mantha - One of the best experts on this subject based on the ideXlab platform.

  • Frictional coefficient depending on active friction radius with BPV and BTV in automobile disc braking system
    International journal of engineering science and technology, 2017
    Co-Authors: H. P. Khairnar, V. M. Phalle, S. S. Mantha
    Abstract:

    The present paper theoretically investigates the behaviour of frictional coefficient considering variants as active friction radius, Brake force variation (BPV) and Brake Torque variation (BTV) in automobile disc Brake system. The variations in the frictional coefficient on the piston side of the rotor disc and on the non piston side has been tracked with the use of equations obtained for the disc Brake system under equilibrium condition .The effect of parameters like active friction radius, BPV and BTV has been studied as per the computations of the estimation algorithm. The formulated equations were solved by using the input parameters acquired using the braking system and predetermined values. The comparison of estimated frictional coefficient from numerical output is in agreement with vis-a-vis corresponding similar computed from the virtual braking system model in the Simulink. The results indicated that highest frictional coefficient of 0.7 was obtained on the piston side of the rotor disc and active friction radius is predominantly the impact factor for frictional coefficient. Keywords: Automobile, Mechanical, Frictional Coefficient, disc Brake, active friction radius, BPV and BTV

  • Estimation of automotive Brake drum-shoe interface friction coefficient under varying conditions of longitudinal forces using Simulink
    Friction, 2015
    Co-Authors: H. P. Khairnar, V. M. Phalle, S. S. Mantha
    Abstract:

    The suitable Brake Torque at the shoe-drum interface is the prerequisite of the active safety control. Estimation of accurate Brake Torque under varying conditions is predominantly the function of friction coefficient at the shoe-drum interface. The extracted friction coefficient has been used in the antilock braking system (ABS) algorithm to plot the μ-slip curve. The longitudinal forces like Coulomb friction force, contact force and actuating forces at the shoe ends are resolved under the equilibrium condition. The computation of the friction coefficient is presented for the symmetric and asymmetric length of the drum shoes to track the variations in the longitudinal forces. The classical mechanics formulae considering friction are simulated using virtual environment in Matlab/Simulink for the distribution of the Coulomb force. The dual air braking system set up operated at the 8 bar pressure is used to acquire data for the input parameters like distance of Coulomb friction force, distance of pivot point, and contact force applied. The evolved estimation algorithm extracted the maximum friction coefficient of 0.7 for the normal force arrangement of the contact force at the symmetric shoe length, while friction coefficient in the range of 0.3–0.7 is obtained at the asymmetric shoe length.

  • Estimation of automotive Brake drum−shoe interface friction coefficient under varying conditions of longitudinal forces using Simulink
    Friction, 2015
    Co-Authors: H. P. Khairnar, V. M. Phalle, S. S. Mantha
    Abstract:

    The suitable Brake Torque at the shoe-drum interface is the prerequisite of the active safety control. Estimation of accurate Brake Torque under varying conditions is predominantly the function of friction coefficient at the shoe-drum interface. The extracted friction coefficient has been used in the antilock braking system (ABS) algorithm to plot the μ-slip curve. The longitudinal forces like Coulomb friction force, contact force and actuating forces at the shoe ends are resolved under the equilibrium condition. The computation of the friction coefficient is presented for the symmetric and asymmetric length of the drum shoes to track the variations in the longitudinal forces. The classical mechanics formulae considering friction are simulated using virtual environment in Matlab/Simulink for the distribution of the Coulomb force. The dual air braking system set up operated at the 8 bar pressure is used to acquire data for the input parameters like distance of Coulomb friction force, distance of pivot point, and contact force applied. The evolved estimation algorithm extracted the maximum friction coefficient of 0.7 for the normal force arrangement of the contact force at the symmetric shoe length, while friction coefficient in the range of 0.3–0.7 is obtained at the asymmetric shoe length.