Fuzzy Adaptive Control System of a Non-Stationary Plant

Igor S Nadezhdin,Flavio Manenti,Alexey G Goryunov

doi:10.1088/1757-899x/142/1/012048

Abstract

This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller. In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.

Highlights

Nowadays the conventional proportional-integral-derivative (PID) controllers are the most widely used for process control in most of the industrial plants
There is a wide variety of PID controllers tuning rules: the Ziegler-Nichols rule [3], the magnitude optimum method [4], the direct synthesis methods [5], the Internal Model Control methods [6], the minimum error integral criteria [7], the iterative feedback tuning method [8], the virtual reference feedback tuning method [9], the approximate M-constrained integral gain optimization method [10], AMIGO method [11] and others
The LF PID method is compared, in terms of performance, with PID controllers configured using AMIGO and Ziegler-Nichols methods along with the new method proposed in Mikhalevich et al As Fig. 11 demonstrates, the worst performance is observed in the process controlled with the PID tuned with AMIGO method while the best control quality is obtained when the process is controlled with the regulator set up with the help of fuzzy logic in real time

Summary

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IOP Publishing

Introduction

Published under licence by IOP Publishing Ltd

PID controller tuning method

Conclusions