PID autotunning methodology with heuristic

Siyang Zhou, Kunhee Han, Sanghyuk Lee

Research output: Contribution to journalArticlepeer-review


Generally, the traditional PID controllers are not applicable to the types of nonlinear and time-varying systems. Thus, a Fuzzy PID auto-tuning controller, which combines with the fuzzy logic controller and PID controller, was designed in this project, in order to compare the difference of performance between Fuzzy PID auto-tuning controller and the traditional PID controller. The design was realized by using the Simulink function in software MATLAB and it was separated into two parts: The first part uses the unit step generator as the input signal, and the second part uses the pulse generator to provide signal as input. The simulation results of the first design showedwhen two sets of initial PID parameters were chosen randomly, the Fuzzy PID auto-tuning controller has the advantages of fast response, flexible control, and strong adaptive ability. However, when the initialPID parameters changed, the performance of the traditional PID controller could be better than before. For the second design, the results showed thatno matter how the initial PID parameters change, the Fuzzy PID auto-tuning controller always has a powerful ability to auto-tuning parameters. Besides, when the appropriateparameters were chosen, the traditional PID controller can perform even better than the Fuzzy PID auto-tuning controller. In conclusion, thetraditional PID controller needsmanual adjustmentof the PID parameters, and it more suitable forcontrollingsome simple controlled objects. The Fuzzy PID auto-tuning controller is better for solving the problem of complex control.

Original languageEnglish
Pages (from-to)311-315
Number of pages5
JournalInternational Journal of Applied Engineering Research
Issue number69
Publication statusPublished - 2015


  • Auto-tuning
  • Fuzzy pid
  • PID

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