Artificial intelligence (AI) tools, such as expert systems, fuzzy logic, and neural networks are
expected to usher a new era in power electronics and motion control in the coming decades …

Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

This paper presents a novel approach of speed control for a permanent magnet
synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based …

This paper introduces a brushless drive system with an adaptive fuzzy-neural-network
controller. First, a neural network-based architecture is described for fuzzy logic control. The …

Accurate modeling of electrical drives for online testing is a relevant problem, because of
their nonlinear behavior. Efficient modeling for simulation, performance evaluation, and …

This paper deals with modern control systems technology that is frequently applied to power
conversion systems. The discussion goes far beyond the basic level of switch control in …

In this paper, a high-performance controller with simultaneous online identification and
control is designed for brushless DC motor drives. The dynamics of the motor/load are …

This paper discusses the development and performance analysis of ANN-based reference
model controller and ANN-based self-tuned PID controller for BLDC motor drives. As the …

This paper presents a cerebella model articulation and proportion integral derivative (CMAC-
PID) composite control scheme for a fully variable valve system (FVVS), the precise position …

This paper examines the feasibility of using artificial neural networks (ANNs) and genetic
algorithms (GAs) to develop discrete time dynamic models for fault free and faulted switched …