Fuzzy-GSA Based Control Approach for Developing Adaptive Cruise Control
Publish place: International Journal of Advanced Design and Manufacturing Technology، Vol: 10، Issue: 4
Publish Year: 1396
Type: Journal paper
Language: English
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JR_ADMTL-10-4_002
Index date: 8 May 2021
Fuzzy-GSA Based Control Approach for Developing Adaptive Cruise Control abstract
Adaptive Cruise Control (ACC) controls vehicle speed and its distance to the proceeding vehicle in the same lane. In this paper a two-level control architecture is proposed to control both velocity and distance to the leading vehicle by taking advantage of fuzzy logic control (FLC) approach. Then the control parameters were tuned by Gravitational Search Algorithm (GSA) to ensure achieving the fastest and most accurate control response. To evaluate performance of the proposed scheme, a speed profile was developed in simulation based test platform to measure performance of the proposed ACC in different maneuvers including some velocity tests and a distance control maneuver. The results revealed that the proposed approach had a stable and fast response which satisfied the requirements of an ACC.
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Fuzzy-GSA Based Control Approach for Developing Adaptive Cruise Control authors
M. Bostanian
Sama technical and vocational training college, Islamic Azad University, Kazerun Branch, Kazerun, Iran
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