Variable-speed-drive-based method for the cost optimization of air filter replacement timing

Modern Topology& Thermal Analysis of Drive for Variable Speed Pumped Storage Power Plant

Given the significant power generation and consumption of variable-speed pumped storage power plants (VSPSPs), it is crucial to enhance drive methods and decrease drive losses, thereby increasing productivity. This paper proposes the topology for VSPSP drivers with two level voltage source converters (2LVSC) with 6+1 converters. Hydraulic and electrical VSPSP models are presented, following whi...

Design and Simulation of Double Loop Control for Power Converter Fed Variable Speed DC Drive

Speed Control of A Three Phase Current Forced Synchronous Machine Drive Based on A Simple Method

In this paper, a new method is proposed for the speed control of a three-phase current forced synchronous machine drive. This metohd is based on the use of an approximate constant commutation safety margin angle in the output thyristor bridge of the drive system as well as on the compenastion of stator magnetization reaction. The commutation process in the output converter of the machine driv...

Robust DSP-based efficiency optimization of a variable speed induction motor drive

This paper proposes a practical digital-signal-processor (DSP)-based algorithm for the online efficiency optimization of induction motor drives. The algorithm combines good features of the search control and loss-model-based control, while simultaneously eliminating their major drawbacks. It ensures very fast convergence without the need for any a priori knowledge of the motor loss-related para...

Multistart Hooke and Jeeves Filter Method for Mixed Variable Optimization

In this study, we propose an extended version of the Hooke and Jeeves algorithm that uses a simple heuristic to handle integer and/or binary variables and a filter set methodology to handle constraints. This proposal is integrated into a multistart method as a local solver and it is repeatedly called in order to compute different optimal solutions. Then, the best of all stored optimal solutions...