Advanced power electronics systems are increasingly being used for AC motor drives, due to their numerous advantages in terms of performance and flexibility; however, due to their switching behaviour, they introduce significant harmonic content. To reduce any interaction with other appliances suitable EMI filters need to be designed and implemented. The focus of this thesis is on the characterization of a matrix converter induction motor drive for aerospace application from the point of view of EMI interference and on the design and implementation of suitable filtering systems. Concerns about Electro Magnetic Interferences are particularly justified in the light of the fact that high reliability is sought after in such applications. The main interest in this work lies in the electromagnetic regulations defining the allowable conducted emissions in the frequencies between 150 kHz and 30 MHz. The first goal achieved by this work is to characterize the EMI signature of a matrix converter induction motor drive using common and differential mode measurements of the converter and motor impedances separately. Based only on these measurements the project aims to synthesize accurate HF models for the Induction Motor and the Matrix Converter in common and differential mode, without the need of deep level studies that may involve long Finite Elements (FE) simulations of the physical system characteristics. This thesis proposes two general novel HF models for Matrix Converters and Induction Motors that could also be applied in any other application or operating condition. These models are automatically tuned and optimized by a suitably developed Genetic Algorithm (GA) routine capable to match those models with real experimental measurements. This thesis reports the methodologies used for both input and output filter design, together with description and analysis of some issues encountered during the process.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:568692 |
| Date | January 2012 |
| Creators | Degano, Marco |
| Publisher | University of Nottingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.nottingham.ac.uk/12744/ |
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