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An active front steering control based on composite nonlinear feedback for vehicle yaw stability system

Che Hasan, +1 more
TLDR
In this article, a composite nonlinear feedback (CNF) strategy is used to control yaw rate of vehicle through active steering and extensive computer simulation is performed with considering a various profile of cornering maneuvers with external disturbance to evaluate its performance in different scenarios.
Abstract
Vehicle stability control (VSC) is one of important topics in vehicle dynamics and active automotive control. This research is focusing on vehicle stability control by active steering system that utilizes steering control method to improve stability of the vehicle. This stability control system is solely based on kinematic and dynamics motion of vehicle. The development of mathematical model of vehicle dynamic that includes body and tyre dynamics is one of the most important steps to make sure the result obtain is close as possible to actual system. In the other hand, an analysis of transient state is very crucial in control system performance where one of the objectives is to track reference signal as fast as possible with minimum overshoot, fast settling time, and without exceed nature of actuator saturation limit. Hence, in order to achieve this target, a robust and high performance of control algorithm is essential for vehicle stability control. In this research project report, a Composite Nonlinear Feedback (CNF) strategy is used to control yaw rate of vehicle through active steering. Extensive computer simulation is performed with considering a various profile of cornering manoeuvres with external disturbance to evaluate its performance in different scenarios. The performance of the proposed controller is compared to conventional Proportional Integration and Derivative (PID) for effectiveness analysis.

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Citations
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Journal ArticleDOI

Composite Nonlinear Feedback With Disturbance Observer for Active Front Steering

TL;DR: In this article, an AFS control strategy using the combination of Composite Nonlinear Feedback (CNF) controller and Disturbance Observer (DOB) to achieve fast yaw rate tracking response which is also robust to the existence of disturbance.
Dissertation

Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system

Liyana Ramli
TL;DR: In this thesis, optimal Composite Nonlinear Feedback (CNF) controller with multi objective algorithms is proposed for the Active Front Steering (AFS) system in improving the vehicle yaw rate response and the performance is improved with a 98 percent reduction in error.
Journal ArticleDOI

Robust composite nonlinear feedback for nonlinear Steer-by-Wire vehicle’s Yaw control

TL;DR: Simulation and validation results show that the CNF and DOB managed to reduce the influence of the side wind disturbance in nonlinearities.
Dissertation

Robust electronic brake force distribution in hybrid electric vehicles

TL;DR: In this article, a robust controller is designed to control the vehicle yaw stability based on the electronic brake force distribution (EBD) braking system for the Through-the-Road (TtR) four-wheel-drive (4WD) hybrid electric vehicle.
References
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Journal ArticleDOI

Composite nonlinear feedback control for linear systems with input saturation: theory and an application

TL;DR: The proposed composite nonlinear feedback control technique is capable of beating the well-known time-optimal control in the asymptotic tracking situations and can be applied to design servo systems that deal with "point-and-shoot" fast targeting.
Journal ArticleDOI

MPC-based yaw and lateral stabilisation via active front steering and braking

TL;DR: In this paper, a path following Model Predictive Control-based (MPC) scheme utilizing steering and braking is proposed to track a desired path for obstacle avoidance maneuver, by a combined use of braking and steering.
Journal ArticleDOI

Nested PID steering control for lane keeping in autonomous vehicles

TL;DR: In this paper, a nested PID steering control in vision-based autonomous vehicles is designed and experimentally tested to perform path following in the case of roads with an uncertain curvature.
Journal ArticleDOI

Linear Time Varying Model Predictive Control and its Application to Active Steering Systems: Stability Analysis and Experimental Validation

TL;DR: In this paper, a Model Predictive Control (MPC) approach for controlling an active front steering (AFS) system in an autonomous vehicle is presented, where at each time step a trajectory is assumed to be known over a finite horizon, and an MPC controller computes the front steering angle in order to best follow the desired trajectory on slippery roads at the highest possible entry speed.
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