This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and desired acceleration tracking, respectively. A fractional-order controller is proposed due to its flexible frequency shape, fulfilling more demanding design requirements. The iso-damping loop property is sought, which yields a desired closed-loop stability that results invariant despite changes on the controlled plant gain. In addition, the graphical nature of the proposed design approach demonstrates its portability and applicability to any type of vehicle dynamics without complex reconfiguration. The algorithm benefits are validated in frequency and time domains, as well as through experiments on a real vehicle platform performing adaptive cruise control. ; This research is supported by the Vehicle Technology Office (VTO), U.S. Department of Energy, under the Energy Efficient Mobility Systems (EEMS) initiative of the SMART Mobility Program, through the Lawrence Berkeley National Laboratory. The contents of this paper reflect the views of the authors, who are responsible for the facts and accuracy of the data presented herein.
Iso-damping fractional-order control for robust automated car-following
2020-09-01
AR/0000026404
Article (Journal)
Electronic Resource
English
DDC: | 629 |
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