Coolant Pump Drive: An Application for Switched Reluctance Machines

Current vehicle architectures utilize belt driven components such as the coolant pump, air-conditioner, power steering pump etc. However, the trend toward more electric vehicles requires novel applications of machines to replace these inefficient mechanical components. It is essential that electrical machines used in automotive applications be compatible with the corresponding mechanical and electrical terminals. Furthermore, replacement of belt driven components with electrical drives, should be performed as efficient and cost effective as possible. Switched Reluctance Machines (SRM) are both cost effective and very robust to the effects of temperature variation. They also offer a very wide speed range and an excellent mechanical integrity, which optimally suits the coolant pump application. in this paper, we propose to utilize an 8/6 SRM to drive a coolant pump. Control and design issues of the SRM, with respect to the coolant pump application will be addressed

Preparation of Powder Precursors and Evaporation of Photoconductive Indium Sulfide Films

We have demonstrated significant photoconductance in indium sulfide thin films prepared by thermal vacuum evaporation ofIn2$3 powders synthesized in-house by chemical precipitation ofInCl3 or In(CH3COO)3, and (NH4)2S or Na2S. The Delta G lambda/Gdark values have been as high as 0.1 in the initial unoptimized films. Excess sulfur (via a mixture of polysulfide and sulfide ions in the synthesis bath) appears to be important in achieving reproducible and large photoconductivities. In2S3 is particularly attractive as a lower toxicity alternative to CdS in optoelectronic applications such as photovoltaic and photoconductive cells

Walking Through Black History Digital Humanities Project

The focus of the project was to illustrate African American history including four periods: Antebellum, Reconstruction, Jim Crow and Civil Rights. We focused on choosing sites that could illustrate that history most effectively, noting that the Reconstruction era is often the most challenging of the four periods in that it is short-lived with little material culture left

Bipolar excitation of switched reluctance machines

In recent years, the switched reluctance machine (SRM) has become a prominent electromechanical device and is seriously considered as a candidate for such diverse areas as: aerospace, vehicular technology, home appliances, and military applications. The resurgence of the SRM has primarily been the result of advances in power electronics and digital signal processing. However, the SRM still has many areas in which its understanding and performance may be enhanced...This dissertation conceptualizes alternatives for magnetic loading of the SRM drive to enhance/improve its performance, and develops a methodology by which the even phase 8/6 SRM drive can be maintained in continuous SFPE via bipolar excitation --Abstract, page iii

Neural Network Based System Identification Of A Pmsm Under Load Fluctuation

A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the speed. The PMSM model proposed can be implemented in a condition based maintenance to perform fault detection, integrity assessment and aging process. The model is validated using a 15 hp PMSM experimental setup. The acquisition system is developed using Matlab® /Simulink® with dSpace® as an interface to the hardware, i.e. PMSM drive system. The model shows generalization capabilities and a satisfactory performance in the fundamental current determination on line under no load and load fluctuations.La técnica de redes neuronales es usada para modelar un PMSM. Una red recurrente multicapas predice el componente fundamental de la señal de corriente un paso adelante usando como entradas el componente fundamental de las señales de voltaje y la velocidad del motor. El modelo propuesto de PMSM puede ser implementado en un sistema de monitoreo de la condición del equipo para realizar labores de detección de fallas, evaluación de su integridad o del proceso de envejecimiento de éste. El modelo se valida usando un banco de pruebas para PMSM de 15 hp. El sistema de adquisición de datos es desarrollado usando Matlab® /Simulink® con dSpace® como interfase con el hardware. El modelo mostró capacidades de generalización y un desempeño satisfactorio en la determinación de las componentes fundamentales de las corrientes en tiempo real bajo condiciones de no carga y fluctuaciones de esta

Neural network based system identification of a pmsm under load fluctuation

A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the speed. The PMSM model proposed can be implemented in a condition based maintenance to perform fault detection, integrity assessment and aging process. The model is validated using a 15 hp PMSM experimental setup. The acquisition system is developed using Matlab®/Simulink® with dSpace® as an interface to the hardware, i.e. PMSM drive system. The model shows generalization capabilities and a satisfactory performance in the fundamental current determination on line under no load and load fluctuations

Power Flow Control and Network Stability in an All-Electric Ship

The concept of an all-electric ship, while offering unprecedented advantages from the point of view of efficiency and flexibility of operation, has introduced new challenges in terms of stability and power flow control. The advent of a full power electronics power system has raised new questions from the point of view of system dynamics, particularly when dealing with the new medium-voltage direct current distribution. The overall goal of guaranteeing a secure operation of the power system has brought researchers to consider two main approaches: reducing the dynamics of the large load to operate in a range of dynamics compatible with traditional generation systems, or making the generator set smarter through its power electronics interface. This paper compares these approaches to stable operation, focusing on the latter considered more in line with the progress of technology and in general more appealing