A Low Speed Control Algorithm Based on Fuzzy-PI

被引：0
|
作者：
Ma, Ying [1 ]
Yan, Bin [2 ]
Lu, Sheng [1 ]
Deng, Congying [1 ]
Chen, Xiang [1 ]
Zhao, Yang [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Inst Virtual Design & Simulat Technol, Chongqing 400065, Peoples R China
[2] Huawei Technol Co Ltd, Chengdu 610041, Sichuan, Peoples R China
来源：
PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018) | 2018年 / 127卷
基金：
中国博士后科学基金;
关键词：
autimatic parking; low speed control; Laplace-Gauss curve; speed curve program; Electronic Booster;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to implement high control performance at low speed (2 similar to 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 similar to 0.5 Km/h and -1 similar to 0.5 m/s(2) respectively.
引用
收藏
页码：340 / 347
页数：8
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