In this study, wide overview of the existing line start permanent magnet synchronous motors literature is presented. The treatment of the subject has been effectively subdivided in to five sections; (i) rotor topologies and design, (ii) steady state analysis, (iii) transient state analysis, (iv) parameter estimation and (v) high efficiency standards. Although, there are numerous papers published in each category, only those important papers which have made significant contributions in the developments and thus triggered research in this field are discussed here. 2 Rotor topologies and design The performance of the Merrill's PM excited synchronous motor [1] was found to be comparable with that of induction motor (IM). Fig. 1 shows the Merrill's rotor configuration. The four sets of flux loops (i.e. A, B, C and D) as shown in the figure, show the corresponding flux patterns under different operating conditions; and should not be taken as a complete flux distribution pattern for a single condition. The machine has negligible reluctance torque component. Alger's discussion on this paper is quite informative and he had postulated that LSPMSM will gain popularity if the future research produces a magnet of higher stored energy and coercive force. Douglas [2], then in 1959, derived the current loci of Merrill's motor by using Blondel's two-reactance theory and predicted that with improved magnet materials, the machine performance would be better. Subsequently, based on the guidelines by Merrill in his paper, a 2 pole, 0.5 hp machine was developed as shown in Fig. 2, and reported by Cahill and Adkins [3]. They found that the rated and the pull-out torque of this machine were less than those of IM of the same frame size because of the lower value of air gap flux density. Moreover, authors observed that this www.ietdl.org
In this work, an Artificial Neural Network (ANN) is developed to improve the performance of Space Vector Modulation (SVM) based Direct Torque Controlled (DTC) Induction Motor (IM) drive. The ANN control algorithm based on Scaled Conjugate Gradient (SCG) method is developed. The algorithm is tested on MATLAB Simulink platform. Results show smooth steady state operation as well as fast and dynamic transient performance. This is due to the SCG training algorithm of ANN which has the benchmarked performance against the standard Back-propagation (BP) algorithm. BP uses gradient descent optimization theory which has user selected parameters; learning rate and momentum constant. The network is trained offline and has fixed parameters. This leads to extra control effort and demands for online tuning of the parameters. SCG algorithm tunes these parameters with the use of second order approximation. Additionally, it takes less learning iterations and hence results in faster learning. Robustness to parameter variations and disturbances is the basic advantage of ANN, thus effectively controlling inherently non linear IM.
Growing consumer md legislative pressures sue increasing tk demand for improved efficiency fractional horse power motors. The single phase line start permanent magnet synchronous motor has been shown to have potential for high efficiency. An equivalent circuit for this motor is proposed to predict the steady state performance of this machine. Criteria for estimating the value of capacitor~equired for balanced operation for desired load is outlined. lke analysis is analytically validated..
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