Feedforward Improved PID Algorithm to Control the Smart Car

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Abstract:

In the self-designed smart car, to control the speed and direction is the control core of the intelligent vehicle system . Due to hardware limitations, there is a delay in the smart car speed and direction control, which is adversely affected for the control of the smart car . For the above problems, the intelligent vehicle control will be applied by the feedforward and feedback control methods, the disturbance which is caused by the deviation will be treated in advance, Digital PID algorithm is improved , the incomplete differential and differential current algorithm is introduced to the PID algorithm to improve the dynamic performance of the system. Aftet this new algorithm is adopted, the dynamic performance of the intelligent vehicle system has been greatly improved.

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Periodical:

Advanced Materials Research (Volumes 989-994)

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3464-3467

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] TANG Gong, high Dexin nonlinear systems with persistent disturbances feedforward - feedback optimal control [J] Control and Decision, 2005 04.

Google Scholar

[2] PK Dash, AC Liew. Anticipatory fuzzy control of power systems [J]. IEE Proc. -Cener. Transm. Distrib., Vol. 142, No. 2, March 1995: 211-218.

DOI: 10.1049/ip-gtd:19951585

Google Scholar

[3] Tao Yonghua New PID control and its application [M] Beijing: Mechanical Industry Press, 2002. 3.

Google Scholar

[4] Rong Gang, Wang Shuqing fuzzy frequency domain based on a new type of PID controller design and parameter tuning [J] Journal of Zhejiang University: Natural Science Edition, 2000 Volume 34 No. 2.

Google Scholar

[5] Jiang Ying, Ye Bicheng. Control based on TS fuzzy neural network model [J]. Control Engineering . 2006 November Volume 13, Issue 6.

Google Scholar

[6] Frank Klawonn, Jorg Gebhardt, Rudolf Kruse Fuzzy Control on the Basis of Equality Relations with an Example from Idle Speed ​​Control [J] IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL 3, NO 3, AUGUST 1995: 336 – 350.

DOI: 10.1109/91.413237

Google Scholar

[7] Ding Fang, Gu Xiangyu, Like Wei, Yang Ming. Fuzzy algorithm in the intelligent vehicle control [J]. Journal of Civil Aviation University of China in 2009 (01).

Google Scholar

[8] Zhang Shuqian Kingdom right. Recognition algorithms and intelligent vehicle control strategy black line [J]. Electronic technology 2009 (03).

Google Scholar

[9] high Yuet Wah Design [J]. Semiconductor optoelectronic infrared photoelectric sensor based on smart car automatic tracking system in 2009 (01).

Google Scholar

[10] B. Eyring, Qushao Cheng, Liu Dong, Zhu Lijia Xu Bin. CCD camera based on intelligent vehicle path identification and tracking [J]. Electronic Measurement Technology 2009 (08).

Google Scholar

[11] Wubin Hua, Huang Weihua, Cheng Lei, Yang Ming Design [J]. Electronic technology path identification based on smart car system. 2007 (03).

Google Scholar