Skip to main content

Advertisement

Springer Nature Link
Log in

The control of the movement of intelligent car based on self-adaptive non-linear algorithm

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

In order to improve the movement performance of the intelligent car, this thesis design a system of movement control based on self-adaptive non-linear algorithm. This system consists of hardware system and software system. The hardware system consists of elastic suspension and servomechanisms, and the software system is mainly based on self-adaptive control algorithm of the servo drive to realize the motion control of the robot by software programming. In order to test the reliability and the stability of the system motion control, the author respectively carried out the MATLAB simulation experiment and the motor speed test experiment on the system. The experimental results show that the system is highly reliable and stable, and can be widely used as a research and development platform.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • He SD (2008) Dynamic analysis and improvement design of automobile elastic suspension system. Southwest Jiaotong University, Chengdu

    Google Scholar 

  • Liu XG (2011) Design and FPGA implementation of adaptive control system for feedforward linear power amplifier. University of Electronic Science and Technology of China, Chengdu

    Google Scholar 

  • Luo Y (2005) Research on suspension structure and parameters of locomotive drives. Southwest Jiaotong University, Chengdu

    Google Scholar 

  • Rainer JJ, Cobos-Guzman S, Galán R (2017) Decision making algorithm for an autonomous guide-robot using fuzzy logic. J Ambient Intell Humaniz Comput 9(4):1177–1189

    Article  Google Scholar 

  • Shen YF, Wu SJ, Deng FL (2002) Overview of intelligent PID control. Ind Instrum Autom 24(06):11–13

    Google Scholar 

  • Wen ZG, Liu D, Liu XQ et al (2018) Deep learning based smart radar vision system for object recognition. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-018-0853-9

    Article  Google Scholar 

  • Ziegler JG, Nichols NB (1993) Optimum settings for automatic controllers. J Dyn Syst Meas Control Trans ASME 115:220–222

    Article  Google Scholar 

  • Zhu MM (2012) Design and implementation of intelligent car. Comput Knowl Technol 8(21):5192–5195

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (Grant: 51575005), Postdoctoral Science Fund of China (Grant: 2012M510424).

Author information

Authors and Affiliations

  1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing, China

    Jianwei Zhao, Yuancheng Xiang, Siyu Yang, Dongshun Zhang & Peng Yu

Authors
  1. Jianwei Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuancheng Xiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Siyu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dongshun Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Peng Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuancheng Xiang.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, J., Xiang, Y., Yang, S. et al. The control of the movement of intelligent car based on self-adaptive non-linear algorithm. J Ambient Intell Human Comput 10, 4595–4602 (2019). https://doi.org/10.1007/s12652-018-1144-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-018-1144-1

Keywords