Korean Journal of Chemical Engineering

, Volume 35, Issue 4, pp 819–825 | Cite as

Fuzzy-based nonlinear PID controller and its application to CSTR

  • Gun-Baek So
  • Gang-Gyoo Jin
Process Systems Engineering, Process Safety


This study presents a new design method for a nonlinear variable-gain PID controller, the gains of which are described by a set of fuzzy rules. User-defined parameters are tuned using a genetic algorithm by minimizing the integral of absolute error and the weighted control input deviation index. It was observed in the experimental results on a continuous stirred tank reactor (CSTR) that the proposed controller provided performances: overshoot M p ≤1.25%, 2% settling time t s ≤1.71 s and IAE≤1.26 for set-point tracking, perturbance peak M peak ≤0.05%, 2% recovery time t rcy ≤3.97 s and IAE≤0.10 for disturbance rejection, and M peak ≤0.04%, t rcy ≤2.74 s and IAE≤0.04 for parameter changes. Comparison with those of two other methods revealed that the proposed controller not only led to less overshoot and shorter settling time for set-point tracking and less perturbance peak and shorter recovery time for disturbance rejection, but also showed less sensitivity to parameter changes.


PID Controller Nonlinear Gains Tagaki-Sugeno Fuzzy Rule Continuous Stirred Tank Reactor (CSTR) 


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Copyright information

© Korean Institute of Chemical Engineers, Seoul, Korea 2018

Authors and Affiliations

  1. 1.Department of Convergence Study on the OSTKorea Maritime and Ocean UniversityBusanKorea
  2. 2.Division of ITKorea Maritime and Ocean UniversityBusanKorea

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