Hybrid intelligent speed control of induction machines using direct torque control

Authors:
Fernando David Ramirez Figueroa;Alfredo Victor Mantilla Caeiros
Affiliations:
Tecnologico de Monterrey, Campus Ciudad de Mexico, Distrito Federal, Mexico;Tecnologico de Monterrey, Campus Ciudad de Mexico, Distrito Federal, Mexico
Venue:
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Year:
2011

Citing 3
Cited 0

Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Control Systems with LabVIEW

Intelligent Control Systems with LabVIEW

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel hybrid adaptive fuzzy controller for the regulation of speed on induction machines with direct torque control. The controller is based on a fuzzy system and PID control with decoupled gains. Genetic programming techniques are used for offline optimizations of the normalization constants of fuzzy membership function ranges. Fuzzy cluster means is introduced for online optimization on the limits of triangular fuzzy membership functions. Finally simulations in LabVIEW are presented validating the response of the controller with and without load on the machine; results and conclusions are discussed.