


Politecnico di Torino  
Anno Accademico 2016/17  
01RJLRV Advanced control in electrical energy conversion: a pratical approach to realtime implementation (didattica di eccellenza) 

Dottorato di ricerca in Ingegneria Elettrica, Elettronica E Delle Comunicazioni  Torino 





Presentazione
PERIODO: GENNAIO 2017
Il corso sarà tenuto dal Prof. Marko Hinkkanen della Aalto University  Finland Introduction: This course deals with modelbased control in electrical energy conversion. Synchronous motor drives and gridconnected power converters will be used as application examples. Many advanced control methods, such as state feedback control, are widely applied amongst control engineers. However, they are considered too complicated to be applied in electrical drives and power converters. This is not true: state feedback controllers can be easily (or automatically) tuned and their computational efficiency is comparable to that of PID controllers. The main contents of the course are: • Energy conversion: fundamentals, synchronous machine models, power converters, vector control • Modeling concepts: space vectors, statespace models, transfer functions • Control design: modelbased PI control, state feedback, pole placement, observers, nonlinearities, discretetime models • Parameter identification: selected examples The control perspective is taken in this course, but physical models of example systems and applied modeling concepts are also covered. Prerequisites: The course is targeted to PhD students and advanced master's students in electrical and control engineering. Prior knowledge of powerelectronics converters, threephase systems, and vector control principles is preferred. Material: Lecture slides and computer assignment instructions will be provided as PDF files during the classes. Some scientific articles are also used in the preliminary assignment, as described lated. Preliminary schedule: Classes at 9:00–13:00 from Monday to Friday. These classes include also some handson MATLAB exercises. The lab is equipped with desktops. If preferred, please take your own laptop with you. Contact: • Marko Hinkkanen (marko.hinkkanen@aalto.fi) • Hafiz Asad Ali Awan (hafiz.awan@aalto.fi) Requirements: To pass this course, you must satisfy the following requirements: • Preliminary assignment: Read the following papers before the course: ◦ J. Kukkola, M. Hinkkanen, K. Zenger, "Observerbased statespace cur¬rent controller for a grid converter equipped with an LCL filter: analytical method for direct discretetime design," in IEEE Trans. Ind. Applicat., vol. 51, no. 5, pp. 4079–4090. ◦ M. Hinkkanen, H. A. A. Awan, Z. Qu, T. Tuovinen, and F. Briz, "Current control for synchronous motor drives: Direct discretetime poleplacement design," IEEE Trans. Ind. Applicat., vol. 52, no. 2, pp. 1530–1541. ◦ D. PerezEstevez, J. DovalGandoy, A. G. Yepes, and O. Lopez, "Positive and negativesequence current controller with direct discretetime pole placement for gridtied converters with LCL filter," IEEE Trans. Pow. Electron., early access. ◦ M. Hinkkanen, P. Pescetto, E. Mölsä, S. E. Saarakkala, G. Pellegrino, and R. Bojoi, "Sensorless selfcommissioning of synchronous reluctance motors at standstill without rotor locking," IEEE Trans. Ind. Applicat., accepted. Try to understand what is the core content. Detailed knowledge of the pa¬pers is not required. Prepare a brief question (or a comment) about each paper. For example, explain what was difficult to understand or what would you like to know more. Send the questions and comments to Marko Hinkkanen no later than on 6th February. The estimated student workload of this preliminary assignment is 20 hours. • Class participation: Students are expected to participate classes. The estimated student workload is 4 x 5 = 20 hours. • Simulation assignments after the course: Recap the material and complete the simulation assignments (separate instructions will be provided). The estimated workload (including recap) is 30 hours (depends on ECTSs). 
Programma
il corso di eccellenza del Prof Marko Hinkkanen
si terrà da lunedì 13 a venerdì 17 febbraio incluso, nell'orario 9.00  13.00 Il corso si terrà nel laboratorio di Enertronica, il cui ingresso è nei pressi dell'aula 16. Gli studenti sono invitati a presentarsi alle 9.00 di lunedì all'ingresso del laboratorio. 
Orario delle lezioni 
Statistiche superamento esami 
