Abstract
This paper presents an H∞ torque-vectoring control formulation for a fully electric vehicle with four individually controlled electric motor drives. The design of the controller based on loop shaping and a state observer configuration is discussed, considering the effect of actuation dynamics. A gain scheduling
of the controller parameters as a function of vehicle speed is implemented. The increased robustness of the H∞ controller with respect to a Proportional Integral controller is analyzed, including simulations with different tire parameters and vehicle inertial properties. Experimental results on a four-wheel-drive
electric vehicle demonstrator with on-board electric drivetrains show that this control formulation does not need a feedforward contribution for providing the required cornering response in steady-state and transient conditions.
of the controller parameters as a function of vehicle speed is implemented. The increased robustness of the H∞ controller with respect to a Proportional Integral controller is analyzed, including simulations with different tire parameters and vehicle inertial properties. Experimental results on a four-wheel-drive
electric vehicle demonstrator with on-board electric drivetrains show that this control formulation does not need a feedforward contribution for providing the required cornering response in steady-state and transient conditions.
Original language | English |
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Pages (from-to) | 32-43 |
Number of pages | 12 |
Journal | Mechatronics |
Volume | 35 |
Early online date | 10 Feb 2016 |
DOIs | |
Publication status | Published - May 2016 |
Externally published | Yes |
Bibliographical note
© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Keywords
- Electric vehicles
- Torque-vectoring
- Yaw rate control
- H∞ loop shaping
- Actuation dynamics
- Experimental tests
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Dive into the research topics of 'H∞ loop shaping for the torque-vectoring control of electric vehicles: Theoretical design and experimental assessment'. Together they form a unique fingerprint.Profiles
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Qian Lu
- Centre for Future Transport and Cities - Assistant Professor in Connected and Autonomous Vehicles
Person: Teaching and Research