The Research on Vehicle Anti-Braking System Control Algorithm Based on Immune PID Control

Ke Rong Jiang; Bo Lin Dong

doi:10.4028/www.scientific.net/AMR.580.189

Paper Titles

Decomposing the Non-Gaussian Surface in Sum of Gaussian Surfaces
p.170

Autonomous Vehicle Trajectory Planning under Uncertainty Using Stochastic Collocation
p.175

Research on a Method of EDM Control System Based on Two Positioning Mode
p.180

The Failure Mechanism of Bucket Teeth of Electric Excavator Used in Metal Mine
p.185

The Research on Vehicle Anti-Braking System Control Algorithm Based on Immune PID Control
p.189

Cooling Simulation of an Injection Mold with an Embedded Insert
p.194

Research on Grid-Connected Inverter Based on Current Track Control in Wind Generation System
p.202

The Realization of Image Recognition Software in CAD/CAM System of Digital Adaptive Lead-Mould
p.206

Computation of 2D Manifold Based on Generalized Condition
p.210

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 580The Research on Vehicle Anti-Braking System...

The Research on Vehicle Anti-Braking System Control Algorithm Based on Immune PID Control

Abstract:

Because the classic PID control doesn’t satisfy the demand of automobile ABS in all conditions and it is short of an ability of identifying road surface, fuzzy control is short of an ability of remove systemic stable error and it doesn’t make automobiles keep higher control precisions. a dynamic mode of the wheels is built when an automobile is braking at first, aiming at automobile ABS, a immune PID control algorithm based on classic PID is presented and used in automobile ABS system. Compared with the classic PID control algorithm and fuzzy control algorithm, the simulation result shows that the immune PID control algorithm has a shorter stabilization time, a smaller excess of system output, fewer response time and shorter braking distance, it is superior to the classic PID control algorithm and fuzzy control algorithm. The immune PID control algorithm has a higher application value.

You might also be interested in these eBooks

Mechanical Properties and Structural Materials

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 580)

Pages:

189-193

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.580.189

Citation:

Cite this paper

Online since:

October 2012

Authors:

Ke Rong Jiang, Bo Lin Dong

Keywords:

ABS System, Immune Control, PID Control, Slip Ratio

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Maoju Chen, Jiangliang Liu, Xiaojun Liu, Research on Control Approaches of Automobile ABS[J], Wuhan University of Technology Academic Journal: Information and management engineering edition, 2003， 25(1)：72～74.

Google Scholar

[2] Konghui Guo, Huiyi Wang, Application of Fuzzy Control Approach in Automobile ABS System[J], Automobile Technology, 2000(3)，7～10.

Google Scholar

[3] Weiguang Yan, Guo Li, Datai Yu, Research on Automobile ABS System Control Algorithm Based on Fuzzy PID Control[J], Highway Traffic Technology, 2004，21(7)：123～126.

Google Scholar

[4] Hongwei Mo, Hongzhang Jin, Principle and Application of Immune Algorithm [J], Aviation computing technology, 2002，32(4)：49～51.

Google Scholar

[5] Takahashi K，Yamada T, Application of an immune feedback mechanism to control systems[J], JSME. Int J series C, 1998, 41(2): 184～191.

DOI: 10.1299/jsmec.41.184

Google Scholar

[6] Runqiu Guo, Xiaohong Wang, Research on Temperature Self-Regulation Based on Immune Feedback Mechanism[J], Xi'an University of Electronic Science and Technology Academic Journal: Natural science edition, 2003, 12 (6) : 717 ~ 721.

Google Scholar