A Low Speed Control Algorithm Based on Fuzzy-PI
- 10.2991/eame-18.2018.72How to use a DOI?
- autimatic parking; low speed control; Laplace-Gauss curve; speed curve program; Electronic Booster
In order to implement high control performance at low speed (2~5 Km/h) for automatic parking system, a speed control algorithm is proposed based on Fuzzy-PI in this paper. First, the desired speed curve is programmed by taking advantage of Laplace-Gaussian curve. In order to avoid fuzzy blind areas, the fuzzy factors of speed error and change rate are adjusted in real-time. Thus, the accuracy of the domain is improved. Then, the desired brake pressure of Electronic Vacuum Booster (EVB) is calculated based on adaptive fuzzy and incremental algorithms. Evaluation on simulation and vehicle test demonstrates that the system based on the improved Fuzzy-PI algorithm can track the desired speed steadily and quickly. The speed and acceleration error during the control process are -0.5~ 0.5 Km/h and -1~ 0.5 m/s² respectively.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ying Ma AU - Bin Yan AU - Sheng Lu AU - Congying Deng AU - Xiang Chen AU - Yang Zhao PY - 2018/06 DA - 2018/06 TI - A Low Speed Control Algorithm Based on Fuzzy-PI BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 340 EP - 347 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.72 DO - 10.2991/eame-18.2018.72 ID - Ma2018/06 ER -