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 EPE 2013 - LS6e: Application of Control Methods to Electrical Systems 
 You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2013 ECCE Europe - Conference > EPE 2013 - Topic 07: Application of control methods to electrical systems > EPE 2013 - LS6e: Application of Control Methods to Electrical Systems 
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   Adaptive Speed Controller for ServodriveBased on Artificial Neural Network Trained Online 
 By Tomasz PAJCHROWSKI, Krzysztof ZAWIRSKI 
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Abstract: The aim of the research was to find out a method of adaptive speed control, which guaranties robustness against variation of selected parameters of system like moment of inertia, time constant etc. The goal was achieved due to application of artificial neural network, which was trained on line on the base of speed control error. The work shows a structure of Artificial Neural Network (ANN), applied as adaptive speed controller, and presents an algorithm of ANN training. Some new modified versions of this algorithm were analysed and verified by simulation and experimental tests. Presented results well illustrate interesting properties of the proposed adaptive neural speed controller.

 
   Control of a PMSM Fed by a Quasi Z-Source Inverter Based on Flatness Properties and Saturation Schemes 
 By Alexandre BATTISTON, Jean-Philippe MARTIN, El-Hadj MILIANI, Babak NAHID-MOBARAKEH, Serge PIERFEDERICI, Farid MEIBODY-TABAR 
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Abstract: This paper deals with the one-loop flatness-based control of a Permanent Magnet Synchronous Machine fed by a coupled inductors Quasi Z-source Inverter. Among arguments in favor of this control strategy, it can be pointed out both the high mastering of the transient states and the high bandwidth of a one-loop control. Some improvements are proposed in this paper to saturate the state variables in order to prevent the system from having an uncontrollable behavior and thus to ensure its robustness when disturbances occur.

 
   IM versus IPM Motors for Positioning Systems Using DFVC 
 By Marian-Stefan NICOLAE, Justin-Radu BOJOI, Petre-Marian NICOLAE, Dan-Gabriel STANESCU 
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Abstract: The development of a control strategy suitable for Permanent Magnet (PM) and Induction Motor (IM)drives is considered. The proposed scheme is based on the Direct Flux Vector Control (DFVC)method, adapted for positioning systems (over azimuth and elevation). A comparative study of IM andInterior PM motors performances is presented.