A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive

•In this paper, model reference adaptive system technique has been used for speed estimation in sensorless speed control of synchronous motor.•This paper studies a novel MRAS observer, considering the saliency of PMSM. The MRAS technique is simple and it requires less computation time.•A novel stato...

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Veröffentlicht in:Electric power systems research 2014-03, Vol.108, p.1-15
Hauptverfasser: Khlaief, A., Boussak, M., Châari, A.
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description •In this paper, model reference adaptive system technique has been used for speed estimation in sensorless speed control of synchronous motor.•This paper studies a novel MRAS observer, considering the saliency of PMSM. The MRAS technique is simple and it requires less computation time.•A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation.•The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated.•Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency. In this paper, model reference adaptive system (MRAS) technique has been used for speed estimation in sensorless speed control of interior permanent magnet synchronous motor (IPMSM) with space vector pulse width modulation (SVPWM). Most of the current researches studying the MRAS technique are based on non-saliency PMSM model and ignore the difference between d- and q-axes inductances. This paper studies a novel MRAS observer, considering the saliency of PMSM. However, this sensorless speed control shows great sensitivity to stator resistance and system noise, particularly, during low-speed operation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation. A stability-analysis method of this novel MRAS estimator is shown. Stable and efficient estimation of rotor speed at low region will be guaranteed by simultaneous identification of IPMSM. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. The proposed observer is experimentally tested using a 1.1-kW motor drive; stable operation at very low speeds under different loading conditions is demonstrated. The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated. Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency.
doi_str_mv 10.1016/j.epsr.2013.09.018
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The MRAS technique is simple and it requires less computation time.•A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation.•The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated.•Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency. In this paper, model reference adaptive system (MRAS) technique has been used for speed estimation in sensorless speed control of interior permanent magnet synchronous motor (IPMSM) with space vector pulse width modulation (SVPWM). Most of the current researches studying the MRAS technique are based on non-saliency PMSM model and ignore the difference between d- and q-axes inductances. This paper studies a novel MRAS observer, considering the saliency of PMSM. However, this sensorless speed control shows great sensitivity to stator resistance and system noise, particularly, during low-speed operation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation. A stability-analysis method of this novel MRAS estimator is shown. Stable and efficient estimation of rotor speed at low region will be guaranteed by simultaneous identification of IPMSM. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. The proposed observer is experimentally tested using a 1.1-kW motor drive; stable operation at very low speeds under different loading conditions is demonstrated. The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated. 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The MRAS technique is simple and it requires less computation time.•A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation.•The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated.•Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency. In this paper, model reference adaptive system (MRAS) technique has been used for speed estimation in sensorless speed control of interior permanent magnet synchronous motor (IPMSM) with space vector pulse width modulation (SVPWM). Most of the current researches studying the MRAS technique are based on non-saliency PMSM model and ignore the difference between d- and q-axes inductances. This paper studies a novel MRAS observer, considering the saliency of PMSM. However, this sensorless speed control shows great sensitivity to stator resistance and system noise, particularly, during low-speed operation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation. A stability-analysis method of this novel MRAS estimator is shown. Stable and efficient estimation of rotor speed at low region will be guaranteed by simultaneous identification of IPMSM. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. The proposed observer is experimentally tested using a 1.1-kW motor drive; stable operation at very low speeds under different loading conditions is demonstrated. The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated. Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency.</description><subject>Applied sciences</subject><subject>Digital signal processor (DSP)</subject><subject>Electric power</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical machines</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>Interior permanent magnet synchronous motor (IPMSM) drive</subject><subject>Miscellaneous</subject><subject>Model reference adaptive system (MRAS)</subject><subject>Power electronics, power supplies</subject><subject>Regulation and control</subject><subject>Sensorless control</subject><subject>Stator resistance estimation</subject><issn>0378-7796</issn><issn>1873-2046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kMFKxDAQhoMouK6-gKdePHhonSRt2oKXRdQVdlFcPcc0mWKW2i6ZsuDbm7Li0VOGyfdnMh9jlxwyDlzdbDPcUcgEcJlBnQGvjtiMV6VMBeTqmM1AllValrU6ZWdEWwBQdVnM2MciWb8uNmljCF1CoxmHkAQkH8veYmL62N1hvEMa_ZcZ_dAnbWQIexpCh0TJHu2UskM_hqHrIvv0st6sExf8Hs_ZSWs6wovfc87eH-7f7pbp6vnx6W6xSq1U-ZgKZ3PTAM9BKmEKUTfKtQqwksa0KFwprRRQNg5sJYxohJKFdLXMjVA1SJBzdn1499N0ehfiV8O3HozXy8VKTz0QXBR5Ue15ZMWBtWEgCtj-BTjoyafe6smnnnxqqHX0GUNXh9DOkDVdG6IfT39JUclS5jBxtwcO47Z7j0GT9RhdOh-iKO0G_9-YH6PEiww</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Khlaief, A.</creator><creator>Boussak, M.</creator><creator>Châari, A.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-0538-7932</orcidid></search><sort><creationdate>20140301</creationdate><title>A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive</title><author>Khlaief, A. ; Boussak, M. ; Châari, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-2dc4ab0140362a529b6df60e83aafe2d73c3207bd0c82a2b26353d934a2690303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Digital signal processor (DSP)</topic><topic>Electric power</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical machines</topic><topic>Engineering Sciences</topic><topic>Exact sciences and technology</topic><topic>Interior permanent magnet synchronous motor (IPMSM) drive</topic><topic>Miscellaneous</topic><topic>Model reference adaptive system (MRAS)</topic><topic>Power electronics, power supplies</topic><topic>Regulation and control</topic><topic>Sensorless control</topic><topic>Stator resistance estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khlaief, A.</creatorcontrib><creatorcontrib>Boussak, M.</creatorcontrib><creatorcontrib>Châari, A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Electric power systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khlaief, A.</au><au>Boussak, M.</au><au>Châari, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive</atitle><jtitle>Electric power systems research</jtitle><date>2014-03-01</date><risdate>2014</risdate><volume>108</volume><spage>1</spage><epage>15</epage><pages>1-15</pages><issn>0378-7796</issn><eissn>1873-2046</eissn><coden>EPSRDN</coden><abstract>•In this paper, model reference adaptive system technique has been used for speed estimation in sensorless speed control of synchronous motor.•This paper studies a novel MRAS observer, considering the saliency of PMSM. The MRAS technique is simple and it requires less computation time.•A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation.•The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated.•Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency. In this paper, model reference adaptive system (MRAS) technique has been used for speed estimation in sensorless speed control of interior permanent magnet synchronous motor (IPMSM) with space vector pulse width modulation (SVPWM). Most of the current researches studying the MRAS technique are based on non-saliency PMSM model and ignore the difference between d- and q-axes inductances. This paper studies a novel MRAS observer, considering the saliency of PMSM. However, this sensorless speed control shows great sensitivity to stator resistance and system noise, particularly, during low-speed operation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation. A stability-analysis method of this novel MRAS estimator is shown. Stable and efficient estimation of rotor speed at low region will be guaranteed by simultaneous identification of IPMSM. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. The proposed observer is experimentally tested using a 1.1-kW motor drive; stable operation at very low speeds under different loading conditions is demonstrated. The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated. Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.epsr.2013.09.018</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0538-7932</orcidid></addata></record>
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subjects Applied sciences
Digital signal processor (DSP)
Electric power
Electrical engineering. Electrical power engineering
Electrical machines
Engineering Sciences
Exact sciences and technology
Interior permanent magnet synchronous motor (IPMSM) drive
Miscellaneous
Model reference adaptive system (MRAS)
Power electronics, power supplies
Regulation and control
Sensorless control
Stator resistance estimation
title A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive
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