A system-level modelling technique for a switched reluctance generator (SRG) is described for aerospace applications. Unlike existing techniques, this model is very simple and only reproduces the average behaviour of the input-output variables that are required for system-level analysis of the aircraft power distribution system. The model is parameterised from the measured generator response, avoiding the need for a detailed knowledge of the equipment structure, which may be unavailable. The modelling procedure is described in detail and validated by measurements on a switched reluctance generator within an aircraft test facility.
Abstract-A DC-DC converter topology is presented combining the soft switching effects of the Snubber Assisted Zero Voltage and Zero Current Transition (SAZZ) topology and the increased inductor frequency of the dual interleaved boost converter with interphase transformer. The snubber capacitors and output capacitances of the main devices are discharged prior to turn on using a single auxiliary inductor, eliminating turn on losses. Furthermore, the turn off losses are significantly reduced since the energy stored in the device output capacitance at turn off is recovered at turn on. The effectiveness of the topology is demonstrated on a SiC prototype operating at 12.5 kW, 112 kHz, reducing the switching losses by 50%.
A system-level behavioural modelling technique is described for a switched reluctance motor drive. The model enables simple and efficient analysis or simulation of multiple drive systems such as pumps, actuators and engine starters within a moreelectric network, for example, on-board an aircraft. The behavioural model is based on a power balance analysis. The transfer functions in the model are parameterised from experimental tests on the drive system, resulting in a simple model that only reproduces the average behaviour of the input-output variables necessary for system-level analysis. No data from the manufacturer is required to develop the model. The technique is discussed and validated using an engine starter in an aircraft test facility.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.