Journal of Northeastern University ›› 2006, Vol. 27 ›› Issue (1): 69-71.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Self-optimizing control of car's intellectual braking system and simulation

Song, Gui-Qiu (1); Lu, Fang (1); Guo, Li-Xin (2)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China; (2) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-01-15 Published:2013-06-23
  • Contact: Song, G.-Q.
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Abstract: Applies the self-optimizing control to the control strategy of ABS braking system and adds the braking pressure feedback to the system. The slipping rate change is thus controlled by way of controlling wheel speed and the double circuit of braking pressure. Simulation results prove that the approach to control is not only simple in algorithm but also able to recognize automatically the road surface change so as to provide the most suitable braking torque that serves the function intellectual braking. The shortcomings of conventional of logical thresholds, which were not based on systematic theories but on empirical trial and error and couldn't readjust quickly to respond to the change in road surface, are therefore overcome. The self-optimizing control is importance to improving the braking of various cars to ensure their driving safety.

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