Takagi-Sugeno Fuzzy Model in Task of Controllers Design

  • Jana Nowaková
  • Miroslav Pokorný
  • Martin Pieš
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 189)


The designing of PID controllers is in many cases a discussed problem. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. In this case, the amount of fuzzy knowledge based methods is extended. New way of designing PID controller parameters is created, which is based on the relations of Chien, Hrones and Reswick design method (the modification of Ziegler-Nichols step response method). The proof of efficiency of the proposed method and a numerical experiment is presented including a comparison with the conventional Chien, Hrones and Reswick method (simulated in the software environment Matlab-Simulink). It is defined a class of systems for which - using the new proposed method - the settling time is shorter or the settling time is nearly the same but without overshoot, which could be also very useful.


Expert system knowledge base PID controller Ziegler-Nichols design methods Chien Hrones and Reswick design method fuzzy system feedback control 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jana Nowaková
    • 1
  • Miroslav Pokorný
    • 1
  • Martin Pieš
    • 1
  1. 1.Faculty of Electrical Engineering and Computer Science, Department of Cybernetics and Biomedical EngineeringVŠB-Technical University of OstravaOstravaCzech Republic

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