Research on Safety and Stability Control for a Compound Electric Propulsion Vehicle Using the Model Predictive Control Strategy
Date Issued
2014
Date
2014
Author(s)
Chang, Hsu-Yuan
Abstract
In this research, a model predictive control-based vehicle safety and stability control algorithm is proposed to stabilize vehicle through tire force distribution. The hierarchical control architecture including upper and lower controller is employed. In the upper controller, the driver’s intention and vehicle states are obtained. And the model predictive control theorem is utilized. The MPC-based controller determines the tire force distribution. The lower controller fulfills the desired forces for each wheel by coordinating motor output torque or frictional braking torque with preventing wheels from slip/locking. The performance of the MPC-based safety and stability controller is compared with the performance of the direct yaw moment controller. And the comparison among different types of powertrain configuration is made. Finally, the hardware-in-the-loop simulation (HiLS) is conducted to evaluate the performance of the proposed MPC-based vehicle safety and stability controller.
Subjects
模型預測控制
複式電力推進電動車
安全穩定控制
Type
thesis
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ntu-103-R00522805-1.pdf
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