Outlined Achievements

Following will give the final remarks and opinions of the achievements of this research having been done so far:

1)An arrangement that focused on development for SRM drives from academic research and industrial information, including statistic of published papers and issued patents that can provide reference trends and concept of developing techniques for those involved in the related fields. That helps in understanding the opportunities and states of the SRM drives.

2)The main concept of optimizing efficiency control is to apply the linking relation of parameters and operate by assigned step size to regulate the current command for optimizing the efficiency of the applied SRM drives, which has constructed a simple efficiency control scheme. In another explanation opinion, the optimizing efficiency control is realized for compensating the conventional current command to operate at the desired or the higher efficiency. There are two SRM drives having taken as examples to evaluate the feasibility of the optimizing efficiency control method. Simulation and experimental results have demonstrated the validity for estimation of inductance related information at operational conditions and showed the applicability and effectiveness of the proposed strategy by efficiency

Chapter 8 Conclusions

3)An FNN-based analysis technique is explained and the verification details are given, which provide an alternative way of performance evaluation and parameters’ estimation for SRM drives. The simulation results testified the mapping capabilities for the nonlinear variation of the inductance by only a few epochs. The overall FNN computation scheme demonstrates that the new structure can successfully and effectively predict the instantaneous torque of the SRM under possible operating conditions, which means the inductance-related information being obtained with acceptable accuracy also.

4)A developed ANN-based model to reconstruction the required information of parameters, meanwhile to act as an estimator, which will enhance or keep the acceptable performance while adding to a conventional control scheme to form a speed sensorless drive. In addition, it shows the competence and acceptable results to obtain the speed and torque by proposed estimation strategy while comparing to those computed by pre-measured parameter values both in steady state and transient response analysis through the simulation. The experimental SRM drives prototype and platform are also set up to verify the applicability of the proposed ANN and show that it owns potential for applications for both of sensorless drives and integration to the optimizing efficiency scheme.

5)It has suggested the method using the least-square-error computation strategy to construct a dynamic mutual inductance model, which can generate current compensation command to strengthen the outputted performance for the SRM drive. The torque produced by mutual inductance, as well as self-inductance, are both taken into account for generating a current command that can keep the performance of SRM drives while generally neglecting the effect of mutual inductance.

Besides, the analysis technique for the dynamic model is explained and the verification results are given, which provide an alternative way of performance improvement and parameters estimation for SRM drives.

By verification, it has demonstrated that the new scheme can successfully improve SRM speed response performance by current compensation under possible operating conditions, which also provide the useful information for the controller design and development of SRM drives.

Chapter 8 Conclusions

6)An estimation approach of phase resistance for the current command compensation based on energy loss caused by resistance, which leads to the influence of outputted performance, is presented herein to improve the robustness of drives for variation in such a way. The effectiveness of the proposed approach is validated and show that it can provide reference information for speed sensorless drives which needs to put resistance into account, especially in low speed operation.

7)The method for the inductance measurement applying LC circuit concept, which means circuit with inductance and capacitor effect, for analysis of SRM in operation status, is proposed. The inductance profile is an important parameter bearing on the performance of an SRM. The main strategy of the presented methodology is to combine the standard circuit topology analysis results and the machine’s equivalent model to find a dynamic measurement method for the inductance related characteristics. The capacitors in series or parallel connection to the phase inductance of the SRM are the key components to construct the applicable LC circuit analysis model. Besides, this method owns the capability that being easy to be extended to estimate the incremental inductance for further performance prediction. The measurement results based on the two SRMs taken into verification both demonstrate the effectiveness of this method under dynamic operation condition while comparing to the conventionally off-line static measurement.

8)Some opinions for the future research, which is described in 8.2, provide the more concrete steps relevant to the research topics after this study

To conclude, a novel method, the optimizing efficiency control for the switched reluctance motor drives, is proposed in this dissertation. This concept is realized by a simple mechanism that to regulate the ratio of phase current command to voltage based on motoring operation state, utilizing the time-dependent derivatives of the equivalent magnetic inductance obtained from reluctance related opinion. In addition, some useful approaches that can integrate into the optimizing efficiency control are also presented to make it possible owning combination or integration schemes for future application and operation based on the trend information that given in this

Chapter 8 Conclusions

derived and completed taking the crucial parameters into consideration.

Simulation and experimental results demonstrated the effectiveness of the capability for efficiency regulation for efficiency optimizing.