Modern Fuzzy Control Systems and Its Applications 2017
DOI: 10.5772/intechopen.69604
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A New Methodology for Tuning PID‐Type Fuzzy Logic Controllers Scaling Factors Using Genetic Algorithm of a Discrete‐Time System

Abstract: In this chapter, a proportional-integral derivative (PID)-type fuzzy logic controller (FLC) is proposed for a discrete-time system in order to track a desired trajectory generated using the flatness property. In order to improve the performance of the proposed controller, genetic algorithm (GA) based on minimizing the integral of the squared error (ISE) is used for tuning the input and output PID-type FLC scaling factors online. The considered controller is applied to an electronic throttle valve (ETV). GA tun… Show more

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“…If the selected sensor technology does not allow for direct size reductions, external post-processing approaches are introduced, involving the whole array, for instance, using dedicated interpolation and field reconstruction methods [48]. The algorithm logic aimed at coordinating sensor data and actuators' actions may be also dramatically affected by the scaling process: changes in terms of mechanical and thermal inertia, different ranges of force and displacements, and so on, may require dramatic variations in the software parameters or the architecture itself, with an unavoidable impact on stability and the working domain of the referred system [49].…”
Section: Introductionmentioning
confidence: 99%
“…If the selected sensor technology does not allow for direct size reductions, external post-processing approaches are introduced, involving the whole array, for instance, using dedicated interpolation and field reconstruction methods [48]. The algorithm logic aimed at coordinating sensor data and actuators' actions may be also dramatically affected by the scaling process: changes in terms of mechanical and thermal inertia, different ranges of force and displacements, and so on, may require dramatic variations in the software parameters or the architecture itself, with an unavoidable impact on stability and the working domain of the referred system [49].…”
Section: Introductionmentioning
confidence: 99%