Vehicle Speed Control Using Gain Scheduling PID Controller

Kadir, Faizul Akmar Abdul; Hudha, Khisbullah; Nasir, Mohd

doi:10.4028/www.scientific.net/amm.165.170

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…The adhesion coefficient is a nonlinear function based on the road pavement and vehicle longitudinal and lateral slip. In this paper, μ is calculated based on a simplified Calspan tire model which is capable to describe the vehicle behavior in any driving scenario [3]. The tire chamber effect is assumed negligible and the detail descriptions could be found in [3].…”

Section: System Modelingmentioning

confidence: 99%

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Independent Torque Control of an Independent-Wheel-Drive Electric Vehicle

Ariff

Zamzuri²,

Idris³

et al. 2014

AMM

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This paper focuses on designing a controller to enhance the traction and handling of an Independent-Wheel-Drive Electric Vehicle (IWD-EV). It presents a traction torque distribution controller for an IWD-EV in order to maintain vehicle handling and stability during critical maneuvers. The proposed controller is based on the Direct Yaw-moment Control (DYC) and Active Front Steering control (AFS) which intended to increase the handling and stability of the vehicle respectively by applying the yaw rate and the lateral acceleration as the control variables. The performance of the controller is evaluated by numerical simulations of two standard high speed maneuvers which are the double lane change (DLC) and J-Curve. The proposed scheme presents a new controller design for IWD-EV which can effectively improved the vehicle handling and stability.

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Section: System Modelingmentioning

confidence: 99%

“…In this paper, μ is calculated based on a simplified Calspan tire model which is capable to describe the vehicle behavior in any driving scenario [3]. The tire chamber effect is assumed negligible and the detail descriptions could be found in [3]. Reference Model.…”

Section: System Modelingmentioning

confidence: 99%

Independent Torque Control of an Independent-Wheel-Drive Electric Vehicle

Ariff

Zamzuri²,

Idris³

et al. 2014

AMM

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“…The full vehicle model can be approximately described as a 14 DOF system subject to excitation from braking and throttling inputs. It consists of 7-DOF vehicle ride model and 7-DOF vehicle handling model coupled with Calspan tire model [11]. The time used in this software was less compared to commercial program.…”

Section: Introductionmentioning

confidence: 99%

Validation of Vehicle Model Response with an Instrumented Experimental Vehicle

2017

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Abstract.A steering aid system called active steering is evaluated by simulating different kinds of driving events. The main purpose of the steering system is to allow the driver control the vehicle independently. A full car vehicle model is simulated in Matlab/Simulink with 14 degree of freedom of equations which include the ride vehicle model and also the handling model. The steering angle is the input of the vehicle model that should be focused on. The angle of the steering system between the tires when turning the vehicle is taken in consideration. Simulations are made on different road conditions effect and also side wind disturbances. Different values are applied to the simulation to reduce the effect of the driving events. Therefore, these simulations results to provide a better improvement to the steering system. The aim for this work is to validate the vehicle response with an instrumented experiemental vehicle. Specific driving events in these simulations are the road adhesions and lateral side wind disturbances.

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