Control of SRM drive for photovoltaic powered water pumping system. Issue 6 (1st July 2017)

• Record Type: Journal Article
• Authors: Mishra, Anjanee Kumar; Singh, Bhim
• Is Part Of: IET electric power applications. Volume 11:Issue 6(2017)
• Page Start: 1055
• Page End: 1066
• Publication Date: 2017-07-01
• Subjects: reluctance motor drives -- machine control -- photovoltaic power systems -- pumping plants -- maximum power point trackers; Simulink/MATLAB -- MPPT algorithm -- initial duty cycle selection -- soft‐starting -- motor drive -- variable speed operation -- voltage sensors -- maximum power point tracking -- CCVM -- CICM -- capacitor voltage modes -- continuous inductor current -- Luo DC–DC converter -- low switching losses -- fundamental frequency -- split‐capacitor converter -- DC‐bus voltage -- switched reluctance motor -- solar powered water pumping scheme -- photovoltaic powered water pumping system -- SRM drive control; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2016.0303
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : The aim of present study is to develop a 'Luo' converter‐based low‐cost solar powered water pumping scheme utilising a switched reluctance motor (SRM). The speed of SRM drive is controlled by adjusting the DC‐bus voltage of split‐capacitor converter. The converter is electronically commutated at fundamental frequency for low switching losses. A 'Luo' DC–DC converter working in continuous inductor current and capacitor voltage modes (continuous inductor current mode and continuous capacitor voltage mode) is utilised to feed power to SRM drive through a split‐capacitor converter. It also provides the limitless sector of maximum power point tracking (MPPT). The elimination of current and voltage sensors on the motor side owing to variable speed operation of the motor drive makes the system cost‐effective and reliable. The soft‐starting of SRM drive is also achieved through the proper step size and initial duty cycle selection through MPPT algorithm. The performance of SRM system is validated by both Simulink/MATLAB platform‐based model and responses of developed prototype.