2020
DOI: 10.3390/en13113010
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A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives

Abstract: This paper presents a comprehensive study on a novel voltage injection based offline parameter identification method for surface mounted permanent magnet synchronous motors (SPMSMs). It gives solutions to obtain stator resistance, d- and q-axes inductances, and permanent magnet (PM) flux linkage that are totally independent of current and speed controllers, and it is able to track variations in q-axis inductance caused by magnetic saturation. With the proposed voltage amplitude selection strategies, a closed-l… Show more

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Cited by 10 publications
(3 citation statements)
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“…Full-rank identification problems can also be obtained by means of online signal injection-based algorithms implemented via adaline neural networks (AdNNs) [ 8 , 9 ], RLS procedures [ 15 , 16 ], or particle swarm optimization (PSO) [ 17 ]. Offline multiparametric identifications are provided in [ 18 ] via voltage injection and in [ 19 ] via an amplitude-auto-adjusting d-axis current injection. The rotor position offset is used as a perturbating signal for the rotor flux linkage and stator resistance estimations in [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
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“…Full-rank identification problems can also be obtained by means of online signal injection-based algorithms implemented via adaline neural networks (AdNNs) [ 8 , 9 ], RLS procedures [ 15 , 16 ], or particle swarm optimization (PSO) [ 17 ]. Offline multiparametric identifications are provided in [ 18 ] via voltage injection and in [ 19 ] via an amplitude-auto-adjusting d-axis current injection. The rotor position offset is used as a perturbating signal for the rotor flux linkage and stator resistance estimations in [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Main features and novelties of this paper are as follows: We solve the rank-deficient problem by employing a multistep procedure based on three AdNNs with mutual updating without using signal injection as in [ 8 , 9 , 10 , 15 , 16 , 17 , 18 , 19 ]; Our method does not require exact knowledge of nominal values, overcoming the issues of [ 11 , 12 ]; Extra sensors are not required as in [ 13 , 14 ]; Unlike [ 20 , 21 ], the proposed method also handles zero d-axis current control schemes; An automated solution based on the R-statistic algorithm allows one to properly identify the SPMSM steady-state operating conditions in which the multistep procedure operates; Low computational requirements on the edge-side make the proposed method highly suitable for IoT integrations, without any change on the motor control unit; Off-the-shelf cloud technologies implement a hardware-in-the-loop (HIL) setup while simulation results show the effectiveness of the proposed approach. …”
Section: Introductionmentioning
confidence: 99%
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