BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Helsinki BEGIN:DAYLIGHT DTSTART:20230326T040000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20231029T030000 TZOFFSETFROM:+0300 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240213T130334Z UID:908EE739-2BD9-4A79-BA60-679155F18FFD DTSTART;TZID=Europe/Helsinki:20230822T090000 DTEND;TZID=Europe/Helsinki:20230825T130000 DESCRIPTION:Introduction\n\nThe precise characterization of modern electric motor drives is a key requirement for many applications. Accurate motor i dentification is mandatory for validating the machine design\, as well as for implementing model-based control schemes\, such as model predictive co ntrol\, advanced flux observers and position-sensorless control. This cour se describes the state of the art of testing procedures for the measuremen t of three-phase and multi-three-phase motor drive parameters. This includ es accurate test campaigns in laboratory environments\, as well as fast se lf-identification techniques known as self-commissioning\, both for the mo tor and for the inverter characterization. The main contents of the course are:\n\n- Modelling of motor drives: Basics of motor and inverter modelli ng adopted for defining the test campaign\n- Magnetic model identification : Measurement of the self- and cross-saturation characteristics\n- Thermal testing: Thermal model definition and experimental measurement of the rel ated parameters\, aiming at the full exploitation of the machine overload capability\n- Inverter voltage error: Accurate techniques for the inverter characterization and voltage drop compensation\n\nFor each topic\, the co urse will cover both motor design and control aspects.\n\nTarget audience\ n\nThe course is designed for advanced master's students and doctoral stud ents as well as for adult learners and experts from industry. Prior knowle dge of motor drives modelling\, power-electronics converters\, and vector control principles is preferred.\n\nMain contents\n\n- Modeling of three-p hase motor drives\n- Accurate measurement of machine parameters\n- Self-co mmissioning of the magnetic model\n- Thermal parameters estimation and mea surement\n- Characterization of inverter voltage error\n- Parameter estima tion and measurement for sensorless control\n- Observer-based online param eter estimation techniques\n\nLearning outcomes\n\nAfter the course\, the attendee is able to:\n\n- Select proper identification techniques based on the available hardware and the target application\n- Evaluate the accurac y of the identified data and their effect on model-based control\n- Implem ent basic identification and self-commissioning procedures\n\nCourse mater ial\n\nLecture slides and computer assignment instructions will be provide d during the classes. Selected scientific articles are also used in the pr eliminary assignment.\n\nRequirements\n\nTo achieve the credits\, you must satisfy the following requirements:\n\n1) Preliminary assignment: Read th e following papers before the course:\n\n- E. Armando\, R. I. Bojoi\, P. G uglielmi\, G. Pellegrino\, and M. Pastorelli\, "Experimental Identificatio n of the magnetic model of synchronous machines\," IEEE Trans. Ind. Appl.\ , vol. 49\, no. 5\, Sep./Oct. 2013.\n- M. Hinkkanen\, P. Pescetto\, E. Mö lsä\, S. E. Saarakkala\, G. Pellegrino\, and R. Bojoi\, "Sensorless self- commissioning of synchronous reluctance motors at standstill without rotor locking\," IEEE Trans. Ind. Appl.\, vol. 53\, no. 3\, pp. 2120-2129\, May /Jun. 2017.\n- S. A. Odhano\, P. Pescetto\, H. A. A. Awan\, M. Hinkkanen\, G. Pellegrino\, and R. Bojoi\, "Parameter identification and self-commiss ioning in AC motor drives: A technology status review\," IEEE Trans. Power Electron.\, vol. 34\, no. 4\, pp. 3603-3614\, Apr. 2019.\n- A. Boglietti\ , E. Carpaneto\, M. Cossale\, and S. Vaschetto\, "Stator-winding thermal m odels for short-time thermal transients: Definition and validation\," IEEE Trans. Ind. Electron.\, vol. 63\, no. 5\, May 2016.\n- N. Bedetti\, S. Ca lligaro\, and R. Petrella\, "Self-commissioning of inverter dead-time comp ensation by multiple linear regression based on a physical model\," IEEE T rans. Ind. Appl.\, vol. 51\, no. 5\, Sep./Oct. 2015.\n- D. D. Reigosa\, D. Fernandez\, H. Yoshida\, T. Kato\, and F. Briz\, "Permanent-magnet temper ature estimation in PMSMs using pulsating high-frequency current injection \," IEEE Trans. Ind. Appl.\, vol. 51\, Jul./Aug. 2015.\n\nDetailed knowled ge of the papers is not required\; focus on understanding the core content and prepare a brief question or a comment for each paper. For example\, e xplain what was difficult to understand or what would you like to know mor e. Send your questions and comments to Paolo Pescetto no later than 18 Aug ust (paolo.pescetto@polito.it). The estimated student workload for this pr eliminary assignment is 20 hours.\n\n2) Class participation: Students are expected to participate in classes (16 hours).\n\n3) Assignments: Recap th e material and complete the simulation assignments for an additional estim ated workload of 40 hours\, including recap. Submit your report latest on 30 September.\n\nLanguage\n\nThe working language of the course is English .\n\nAdditional information\n\nParticipants are responsible for organizing and paying their own travel costs\, accommodation\, and food.\n\nCo-spons ored by: Aalto University\n\nSpeaker(s): Paolo Pescetto\n\nAgenda: \nPreli minary schedule\n\nClasses at 9:00–13:00 from Tuesday to Friday (Helsink i time). The classes include hands-on MATLAB exercises. It is recommended to bring your own laptop with you.\n\nLocation\n\nAuditorium T2 (C105)\, K onemiehentie 2\, Espoo.\n\n[Useful Aalto Map](https://usefulaaltomap.fi/#! /select/T2)\n\nRoom: Auditorium T2 (C105)\, Bldg: Computer Science\, Aalto University School of Electrical Engineering\, Konemiehentie 2\, Espoo\, S odra Finlands Lan\, Finland\, 02150 LOCATION:Room: Auditorium T2 (C105)\, Bldg: Computer Science\, Aalto Univer sity School of Electrical Engineering\, Konemiehentie 2\, Espoo\, Sodra Fi nlands Lan\, Finland\, 02150 ORGANIZER:Mahdi.Pourakbari@ieee.org SEQUENCE:58 SUMMARY:Summer course: Parameter identification and self-commissioning tech niques for AC motor drives (3 ECTS) URL;VALUE=URI:https://events.vtools.ieee.org/m/365258 X-ALT-DESC:Description: <br /><p><strong>Introduction</strong></p>\n<p>The precise characterization of modern electric motor drives is a key requirem ent for many applications. Accurate motor identification is mandatory for validating the machine design\, as well as for implementing model-based co ntrol schemes\, such as model predictive control\, advanced flux observers and position-sensorless control. This course describes the state of the a rt of testing procedures for the measurement of three-phase and multi-thre e-phase motor drive parameters. This includes accurate test campaigns in l aboratory environments\, as well as fast self-identification techniques kn own as self-commissioning\, both for the motor and for the inverter charac terization. The main contents of the course are:</p>\n<ul>\n<li><strong>Mo delling of motor drives:</strong> Basics of motor and inverter modelling a dopted for defining the test campaign</li>\n<li><strong>Magnetic model ide ntification:</strong> Measurement of the self- and cross-saturation charac teristics</li>\n<li><strong>Thermal testing:</strong> Thermal model defini tion and experimental measurement of the related parameters\, aiming at th e full exploitation of the machine overload capability</li>\n<li><strong>I nverter voltage error: </strong>Accurate techniques for the inverter chara cterization and voltage drop compensation</li>\n</ul>\n<p>For each topic\, the course will cover both motor design and control aspects.</p>\n<p><str ong>Target audience</strong></p>\n<p>The course is designed for <span styl e="background-color: #fbeeb8\;">advanced master's students and doctoral st udents<span style="background-color: #ffffff\;"> as well as for </span>adu lt learners and experts from industry</span>. Prior knowledge of motor dri ves modelling\, power-electronics converters\, and vector control principl es is preferred.</p>\n<p><strong>Main contents</strong></p>\n<ul>\n<li>Mod eling of three-phase motor drives</li>\n<li>Accurate measurement of machin e parameters</li>\n<li>Self-commissioning of the magnetic model</li>\n<li> Thermal parameters estimation and measurement</li>\n<li>Characterization o f inverter voltage error</li>\n<li>Parameter estimation and measurement fo r sensorless control</li>\n<li>Observer-based online parameter estimation techniques</li>\n</ul>\n<p><strong>Learning outcomes</strong></p>\n<p>Afte r the course\, the attendee is able to:</p>\n<ul>\n<li>Select proper ident ification techniques based on the available hardware and the target applic ation</li>\n<li>Evaluate the accuracy of the identified data and their eff ect on model-based control</li>\n<li>Implement basic identification and se lf-commissioning procedures</li>\n</ul>\n<p><strong>Course material</stron g></p>\n<p>Lecture slides and computer assignment instructions will be pro vided during the classes. Selected scientific articles are also used in th e preliminary assignment.</p>\n<p><span style="background-color: #ffffff\; " data-preserver-spaces="true"><span style="color: #000000\;"><strong>Requ irements </strong></span></span></p>\n<p><span style="background-color: #f fffff\;" data-preserver-spaces="true">To achieve the credits\, you must sa tisfy the following requirements:<br /></span></p>\n<p><span data-preserve r-spaces="true"><strong>1) Preliminary assignment: </strong>Read the follo wing papers before the course:&nbsp\;</span></p>\n<ul>\n<li><span data-pre server-spaces="true">E. Armando\, R. I. Bojoi\, P. Guglielmi\, G. Pellegri no\, and M. Pastorelli\, "Experimental Identification of the magnetic mode l of synchronous machines\," IEEE Trans. Ind. Appl.\, vol. 49\, no. 5\, Se p./Oct. 2013.&nbsp\;</span></li>\n<li><span data-preserver-spaces="true">M . Hinkkanen\, P. Pescetto\, E. M&ouml\;ls&auml\;\, S. E. Saarakkala\, G. P ellegrino\, and R. Bojoi\, "Sensorless self-commissioning of synchronous r eluctance motors at standstill without rotor locking\," IEEE Trans. Ind. A ppl.\, vol. 53\, no. 3\, pp. 2120-2129\, May/Jun. 2017.&nbsp\;</span></li> \n<li><span data-preserver-spaces="true">S. A. Odhano\, P. Pescetto\, H. A . A. Awan\, M. Hinkkanen\, G. Pellegrino\, and R. Bojoi\, "Parameter ident ification and self-commissioning in AC motor drives: A technology status r eview\," IEEE Trans. Power Electron.\, vol. 34\, no. 4\, pp. 3603-3614\, A pr. 2019.&nbsp\;</span></li>\n<li><span data-preserver-spaces="true">A. Bo glietti\, E. Carpaneto\, M. Cossale\, and S. Vaschetto\, "Stator-winding t hermal models for short-time thermal transients: Definition and validation \," IEEE Trans. Ind. Electron.\, vol. 63\, no. 5\, May 2016.&nbsp\;</span> </li>\n<li><span data-preserver-spaces="true">N. Bedetti\, S. Calligaro\, and R. Petrella\, "Self-commissioning of inverter dead-time compensation b y multiple linear regression based on a physical model\," IEEE Trans. Ind. Appl.\, vol. 51\, no. 5\, Sep./Oct. 2015.&nbsp\;</span></li>\n<li><span d ata-preserver-spaces="true">D. D. Reigosa\, D. Fernandez\, H. Yoshida\, T. Kato\, and F. Briz\, "Permanent-magnet temperature estimation in PMSMs us ing pulsating high-frequency current injection\," IEEE Trans. Ind. Appl.\, vol. 51\, Jul./Aug. 2015.&nbsp\;</span></li>\n</ul>\n<p><span data-preser ver-spaces="true">Detailed knowledge of the papers is not required\; focus on understanding the core content and prepare a brief question or a comme nt for each paper. For example\, explain what was difficult to understand or what would you like to know more. <span style="background-color: #fbeeb 8\;">Send your questions and comments to Paolo Pescetto no later than 18 A ugust (paolo.pescetto@polito.it).<span style="background-color: #ffffff\;" > </span></span>The estimated student workload for this preliminary assign ment is 20 hours.&nbsp\;</span></p>\n<p><span data-preserver-spaces="true" ><strong>2) Class participation:</strong> Students are expected to partici pate in classes (16&nbsp\;</span><span data-preserver-spaces="true">hours) .&nbsp\;</span></p>\n<p><span data-preserver-spaces="true"><strong>3) Assi gnments: </strong>Recap the material and complete the simulation assignmen ts for an additional estimated workload of 40 hours\, including recap. Sub mit your report latest on 30 September.<br /></span></p>\n<p><strong>Langu age</strong></p>\n<p>The working language of the course is English.</p>\n< p><strong>Additional information</strong></p>\n<p><span style="background- color: #fbeeb8\;" data-preserver-spaces="true">Participants are responsibl e for organizing and paying their own travel costs\, accommodation\, and f ood.</span></p><br /><br />Agenda: <br /><p><strong>Preliminary schedule</ strong></p>\n<p>Classes at <strong>9:00&ndash\;13:00</strong> from Tuesday to Friday (Helsinki time). The classes include hands-on MATLAB exercises. It is recommended to bring your own laptop with you.</p>\n<p><strong>Loca tion</strong></p>\n<p>Auditorium T2 (C105)\, Konemiehentie 2\, Espoo.</p>\ n<p><a href="https://usefulaaltomap.fi/#!/select/T2">Useful Aalto Map</a>< /p> END:VEVENT END:VCALENDAR