60 research outputs found
Selecting appropriate fuzzy PID control structure for power electronic applications
A comprehensive library of Fuzzy Proportional-Integral-Derivative (PID) controllers for power electronic systems has recently presented in the literature. In this library, the authors derived a 27 Fuzzy PID structures and many hybrid Fuzzy PID controllers. This paper is an extended research for the forementioned work. Here and as a study case, a switched mode power converter (SMPC) application is considered showing the procedure for selecting the applicable structure from the derived FPID library. Such systems require robust, and highly dynamic performance, control schemes to facilitate optimum and high efficiency performance, often under a wide and challenging range of operating conditions. Here, a fuzzy PD + I (FPD + I) structure is directly selected from the derived FPID library. Simulation analysis and experimental validation on a DSP (TMS-320F28335) controlled prototype synchronous DC-DC buck converter demonstrate the superior dynamic performance and voltage regulation of the selected FPID structure compared to the conventional CPID control scheme
Design and implementation of an intelligent position controller-based adaptive self-tuning drive system
Design an artificially intelligent automaton for the real-world dynamics of the Amtrak rail road track
Adaptation learning control scheme for a high performance permanent magnet stepper motor using online random training of neural networks
Experimental implementation of an adaptive neural network tracking controller for motion control of step motors
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