An Efficiency Improvement Strategy for Switched Reluctance Motor Drives
|關鍵字:||切換式磁阻電動機驅動系統;模糊類神經網路;類神經網路;效率;Switched Reluctance Motor Drives;Fuzzy neural network;Artificial neural network;Efficiency|
A new control concept, the strategy of efficiency improvement for switched reluctance motor (SRM) drives applying derivation results based on analysis model, is proposed in this dissertation. The presented efficiency consideration and its control approach are inspired and originated from an SRM model, whereas can be realized by regulation of the ratio of the phase current command to voltage within derivatives of equivalent magnetic inductance with respect to time. Moreover, the efficiency improvement strategy is further discussed for constructing the applicable driving scheme in practical usage, operating based on the assigned regulation rule for searching the upgraded efficiency that may exist for the SRM drives by step-type variation of current command. The linking relation of parameters of SRM’s model is utilized to execute commands under operation of SRM drives while no exceeding to the setting ranges according to the outputted performance requirement. For the overall control scheme of the efficiency improving mechanism, a fuzzy neural network (FNN) system is applied to approximately compute the partial derivative of the equivalent magnetic inductance profile for the SRM with respect to the rotor position and current, while the inductance is obtained firstly by the mapping scheme of the FNN for relations among the position, current, and the inductance as well. In addition, several new estimation schemes and measurement approaches for getting the needed parameters, including the parameters of resistance, inductance, mutual inductance, torque, and speed, are also presented for considerations of the integration and combination to the efficiency improving schemes for extending its feasibility. Furthermore, an artificial neural network (ANN) is presented to establish the core unit with outputted performance judgment capability for under-saturation operation, as well as one of the dual-core operation with the FNN’s scheme for high-portion saturation working. Besides, two performance enhancement schemes that can deal with the variation of the resistance or take the mutual inductance into account by current compensation are discussed for the high-performance SRM dives. The research platforms for verification related to these issues are implemented applying two SRMs for possible applications of electrical bikes and washing machines, respectively. Simulation and experimental results partly demonstrated the validity of the capability of the proposed strategy with efficiency improvement up to 3.5 %, 5 %, and 7.1 % for one application target, and 3 %, 2.2 %, and 5.1 % to the other practice, both under the testing of ratio of 0.2, 0.5, and 1, rated power of the applied SRM drives.
|Appears in Collections:||Thesis|