Neural network based PID control analysis

Khizir Mahmud*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

10 Citations (Scopus)


Through the popularity of the conventional PID control system, the implementation of the neural network on PID has gained a special concern in the control technology. Sometimes the traditional PID control technology is less encouraged for its delayed convergence rate and easy to fall into local minimum. So this research analyzed an upgraded BP algorithm and tried to design an implementation process to apply on PID control system. The algorithm convergence speed for the training process is quite good. Moreover, the trained BP neural network has self learning capability and has strong adaptive capability as well. So by applying this in the PID controllers can improve the performance very well. In the paper the PID and BP neural network, control process and control algorithm and the simulation results of neural network based PID control has been analyzed.

Original languageEnglish
Title of host publicationGHTCE 2013
Subtitle of host publication2013 IEEE Global High Tech Congress on Electronics
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781479932092
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Global High Tech Congress on Electronics, GHTCE 2013 - Shenzhen, China
Duration: 17 Nov 201319 Nov 2013


Other2013 IEEE Global High Tech Congress on Electronics, GHTCE 2013


  • BP
  • controller
  • Matlab
  • neural network
  • PID


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