FLC based photovoltaic battery diesel hybrid system management and control

The paper presents the development and implementation of a new sensorless algorithm for estimating the rotor position of switched reluctance motor (SRM) over a wide range of operating conditions. The algorithm is designed to overcome difficulties in estimating the rotor position at starting as well as at the normal operation region. The algorithm is successfully implemented experimentally using SRM fed from a photovoltaic source which has a nonlinear operating nature. The results show improved performance at starting as well as when step changes in converter duty ratio or insulation levels occur. The results demonstrate clearly that the new algorithm ensures smooth starting without initial hesitation and reduces the torque ripples. The results presented are of prime importance to manufacturing companies leading to low cost reliable SRM drive systems for various industrial applications.

Section: Photovoltaic Generatormentioning

confidence: 99%

mentioning

confidence: 99%

Performance of a Sensorless SRM Drive Fed From a Photovoltaic System

Oshaba

2013

“…SRM is one of these motors that need to supply its phases with dc current one phase at a time. The current is fed to the motor via buck boost dc/dc converter with variable duty ratio to extract the maximum power of the PV system and fed the motor with necessary voltage and current to overcome the motor speed and torque requirements [21][22].…”

Section: -Photovoltaic System Powered Srmmentioning

confidence: 99%

A Simplified Speed Controller for High Speed Switched Reluctance Motors

Oshaba

Salem²

2012

This paper presents a simplified speed controller (SSC) for high speed Switched Reluctance Motors (SRM). The controller is designed to overcome difficulties estimating control variables and motor operation over a wide range of speeds. The controller combines the advantages of the simplicity of conventional controllers and the intelligent properties of the fuzzy logic controller. The controller use only two control variables which are calculated via the perturbation of the mechanical equation and pre-defined SRM speed performance. The controller is designed and implemented by computer simulation. The performance of the motor with the controller is assessed using dynamic loads and various types of disturbances. The results illustrate that the controller represent an ultimate solution for the operation of high speed switched reluctance motors.

“…Integral control creates a restoring force that is proportional to the sum of all past errors multiplied by time, as expressed in Eqn. 16. In analog control this nonlinear system; two adaptive controllers are used alternately.…”

Section: Conventional Adaptive Controllermentioning

confidence: 99%

Switched Reluctance Motor Sensorless Fed by Photovoltaic System Based on Adaptive PI Controller

Ali

2012

This paper presents the application of adaptive algorithm for the speed control of Switched Reluctance Motor (SRM) with load series DC machine. This system is feeding by Photovoltaic (PV) system. SRM is a highly nonlinear control plant and operates in saturation to maximize the torque output. A systematic approach to the modeling of highly nonlinear SRM drive system which includes the motor, converter, and its electronic controller is presented. Hysteresis current controlled mid-point converter is used to feed four phase, 8/6 pole SRM. Nonlinearity caused by magnetic saturation is accounted for accurate and real-time simulation of drive performance by considering experimental data of magnetization and static torque characteristics. Performance analysis of SRM drive is reported for a wide range of operating conditions via starting, reversal and load perturbation dynamics the performance indices of SRM drive system operating with adaptive controller for speed control and using the PI classical controller turn on angle for starting operation (dynamic operation). The results illustrate that the approach used are suitable for dynamic analysis and steady state of SRM fed from a PV system. It ensures smooth starting without initial hesitation and reduce the torque ripples. This proposed is explain the comparison between two technique for SRM (four phases) control system. First controller is adaptive speed control and the second controller is adaptive torque control.