Integrated fuzzy/optimal vehicle dynamic control |
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Authors: | A Goodarzi M Alirezaie |
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Institution: | 1. Automotive Engineering Department, Iran University of Science and Technology, Narmak, Tehran, 16765-163, Iran
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Abstract: | There are basically two methods to control yaw moment which is the most efficient way to improve vehicle stability and handling.
The first method is indirect yaw moment control, which works based on control of the lateral tire force through steering angle
control. It is mainly known as active steering control (ASC). Nowadays, the most practical approach to steering control is
active front steering (AFS). The other method is direct yaw moment control (DYC), in which an unequal distribution of longitudinal
tire forces (mainly braking forces) produces a compensating external yaw moment. It is well known that the AFS performance
is limited in the non-linear vehicle handling region. On the other hand, in spite of a good performance of DYC in both the
linear and non-linear vehicle handling regions, continued DYC activation could lead to uncomfortable driving conditions and
an increase in the stopping distance in the case of emergency braking. It is recommended that DYC be used only in high-g critical
maneuvers. In this paper, an integrated fuzzy/optimal AFS/DYC controller has been designed. The control system includes five
individual optimal LQR control strategies; each one, has been designed for a specific driving condition. The strategies can
cover low, medium, and high lateral acceleration maneuvers on high-μ or low-μ roads. A fuzzy blending logic also has been utilized to mange each LQR control strategy contribution level in the final control
action. The simulation results show the advantages of the proposed control system over the individual AFS or DYC controllers. |
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