{"title":"Rotor position estimation for dual-three-phase permanent magnet synchronous machine based on third harmonic back-EMF","authors":"J. Liu, Z. Zhu","doi":"10.1109/SLED.2015.7339258","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339258","url":null,"abstract":"In this paper, an improved rotor position estimation strategy based on third harmonic back-EMF for a dual-three-phase permanent magnet synchronous machine (PMSM) is proposed. Due to the phase shift of π/6 between the two sets of windings in dual-three-phase PMSM, the triplen harmonic flux-linkages derived from the measured triplen harmonic back-EMFs are with constant amplitude and orthogonal under third harmonic reference frame. By applying EKF based rotor position estimator the rotor position can be estimated even though there may contain too much high order harmonic components. Furthermore, to improve the robustness and frequency response, the speed-dependent triplen harmonic back-EMF can be directly applied for rotor position estimation by estimator with speed-variable parameters without any filter. The proposed strategies have been implemented on a dSPACE platform with a prototype of dual-three-phase PMSM. The experimental results prove that both of the proposed rotor position estimation strategies have accurate rotor position estimation under steady-state, whilst the strategy based on third harmonic back-EMF can achieve outstanding dynamic performance of rotor estimation due to the removal of all filters.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128295617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An FPGA based minimum inductance sensor-less technique for Switched Reluctance Motors","authors":"Alex Stumpf, D. Elton, J. Devlin, H. Lovatt","doi":"10.1109/SLED.2015.7339267","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339267","url":null,"abstract":"This paper proposes a technique to detect the rotor position in a Switched Reluctance Motor(SRM) which only requires knowledge of the phase resistance and the number of stator and rotor poles. Accuracy can be further improved if prior knowledge of the mutual phase inductance is known. The technique operates by sensing the minimum inductance location which allows positional information to be obtained. This is performed using a controlled low level sense current during the un-energised period. A Digital Phase Locked Loop is described to derive rotational positions between minimum inductance locations. Factors affecting the detection of the minimum inductance position are described and proposals to mitigate errors are discussed. The technique is implemented using a Field Programmable Gate Array(FPGA) with results showing good performance over a range of speeds and motor operating conditions.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mechanical sensorless PMSM drive system based on direct torque control in M-T frame synchronized with stator flux-linkage vector","authors":"Y. Inoue, S. Morimoto, M. Sanada","doi":"10.1109/SLED.2015.7339259","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339259","url":null,"abstract":"This paper proposes a mechanical sensorless drive system based on direct torque control for permanent magnet synchronous motor. In the proposed system, the whole control system works in a rotating reference frame that is synchronized with the stator flux linkage vector. The armature voltage in the stationary reference frame does not required for the flux estimation. In addition, the proposed system includes maximum torque per ampere (MTPA) and flux-weakening controls for wide-speed-range operation. A novel MTPA model is used for the reference flux calculation. Both simulation and experimental results show the effectiveness of the proposed system.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121951452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a sliding mode observer for sensorless control of SPMSM operating at medium and high speeds","authors":"Zhao-Qin Guo, S. K. Panda","doi":"10.1109/SLED.2015.7339255","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339255","url":null,"abstract":"This paper presents design of a sliding mode observer (SMO) for sensorless control of surface-mounted permanent magnet synchronous motor (SPMSM) operating at medium and high speeds. The proposed SMO design uses saturation function instead of signum function which is commonly used in the conventional SMO design. The advantage and novelties of the proposed SMO design lie in the following aspects. First, the proposed design is simple in computing. The saturation function naturally smoothes the estimated back-emf signal, while in the conventional SMO design, an extra low pass filter has to be applied to smooth the discontinuous switching signals. Second, the proposed SMO is easy to implement because the design allows intuitive selection and tuning of observer parameters. Third, the estimation performance is analytically studied and the proposed SMO reveals accurate estimation of the rotor position. The effectiveness of the proposed method is verified through simulations and experimental testings.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132190594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Cubature Kalman Filter based speed and position estimator for Permanent Magnet Synchronous Motor","authors":"G. Gopinath, Shyama P Das","doi":"10.1109/SLED.2015.7339265","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339265","url":null,"abstract":"This paper presents a Cubature Kalman Filter (CKF) based speed and position observer for a Permanent Magnet Synchronous Motor (PMSM). CKF is a new variety of Kalman filter which uses a third degree spherical-radial cubature rule to numerically compute multivariate moment integrals. Unlike in an Extended Kalman Filter(EKF), mean and covariance are propagated through the non-linear system, which minimizes the errors due to linearization. The proposed observer is incorporated in the sensorless control of an IPMSM of 1.5kW, 3000rpm rating. For the CKF algorithm, PMSM is modeled in stationary αβ reference frame. To get comparatively better transient performance and convergence of the CKF for a non-zero initial rotor position, system covariance matrix Q is chosen adaptively. Simulation results for a VSI fed IPMSM are presented and the convergence of CKF is shown for a variation of stator resistance. Performance of the proposed observer is compared with that of an EKF observer.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel stator flux and current estimator in induction motor with offsets of measured currents","authors":"Jaebok Lee, S. Sathiakumar, Y. Shrivastava","doi":"10.1109/SLED.2015.7339261","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339261","url":null,"abstract":"A novel stator flux and current estimator is proposed to estimate stator flux and remove dc offset error in induction motor with offsets of measured currents. The proposed stator flux estimator is able to solve the problem related with a pure integrator to estimate stator flux in induction motor for operating in a wide speed range and the proposed current estimator is able to remove offsets of measured currents. Normally a drift is made by integration of dc offset error present in the estimated stator flux due to DC offset in the measurement of phase current. The estimator can be able to solve a problem related the pulse with modulation (PWM) signal which is the signal is not sinusoidal signal.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and experimental verification of saliency-based sensorless controlled ipmsm with concentrated winding for general industrial application","authors":"Y. Kano, T. Kosaka, N. Matsui","doi":"10.1109/SLED.2015.7339263","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339263","url":null,"abstract":"This paper presents the design and experimental verification of a saliency-based sensorless controlled IPMSM with concentrated windings for general purpose industrial drives. The IPMSM is designed by the proposed procedure so as to meet the torque ripple requirement with the required maximum torque. The designed rotor has a V-shape-magnet arrangement and circular flux-barrier which is placed at the center of a rotor yoke between N- and S-poles. An experimental IPMSM has been constructed based on the resulting design. The experimental studies using the prototype have proved the validity of the proposed design procedure and the expected drive characteristics.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An improved sensorless FS-PTC of induction motors using estimated stator currents","authors":"M. Habibullah, D. Lu","doi":"10.1109/SLED.2015.7339257","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339257","url":null,"abstract":"Conventionally a finite state predictive torque control (FS-PTC) strategy uses measured stator currents and estimated stator and rotor flux to predict stator flux and torque of induction motor (IM). In FS-PTC, the accuracy of the prediction model is directly dependent on the stator currents and the rotor speed. Direct application of measured stator currents into the prediction model degrades the control performance in terms of current total harmonic distortion (THD) and speed error, especially at lower speeds. This is because injection of noise into the prediction model leads to undesired switching actuation for the inverter. To avoid this problem, this paper proposes an improved prediction model for speed sensorless FS-PTC of IM drives. The estimated stator currents instead of measured currents are fed back to the controller and thus small stator current THD is confirmed. Extended Kalman filter (EKF), a promising state observer for sensorless control system, has been employed with FS-PTC to estimate rotor speed, rotor flux and stator currents accurately. The proposed control strategy has been verified experimentally, and improved torque and flux responses are achieved.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved high-frequency carrier voltage measurement for position estimation of switched-flux permanent magnet machines","authors":"T. Lin, Z. Zhu, K. Liu","doi":"10.1109/SLED.2015.7339268","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339268","url":null,"abstract":"The conventional 12/10 stator/rotor poles switched-flux permanent magnet (SFPM) machine is usually based on all poles wound topology, each phase comprising four winding coils in series connection. However, alternate coils of the same phase have different machine saliency characteristics. Moreover, in order to measure the high-frequency (HF) carrier voltage, the mid-tapered winding wires can be utilized. Consequently, the machine saliencies can be measured separately from two parts of winding coil connections. This paper investigates the influences of machine saliencies on the sensorless rotor position estimations based on different sequence of winding coil connections, in which the primary saliency may contain some additional harmonics referring to the secondary saliency that will degrade the overall sensorless control operations. Furthermore, a simple compensation method is proposed to reduce the influence of multiple saliencies to achieve more accurate sensorless rotor position estimation. By comparing with rotor positon estimations without the proposed compensation and HF carrier current based method, the effectiveness of improved sensorless rotor position estimation has been demonstrated experimentally, as well as the application to dual 3-phase SFPM machines.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gaétan Lefebvre, Vincent Le Digarcher, Jean-Yves Gauthier, A. Hijazi, X. Lin-Shi
{"title":"Optimal low-stator-frequency avoidance strategy to improve the performances of induction machine sensorless drives","authors":"Gaétan Lefebvre, Vincent Le Digarcher, Jean-Yves Gauthier, A. Hijazi, X. Lin-Shi","doi":"10.1109/SLED.2015.7339256","DOIUrl":"https://doi.org/10.1109/SLED.2015.7339256","url":null,"abstract":"This paper focuses on speed-sensorless drive of induction machine without signal injection. To ensure good performances of the speed observer without the disruptive effects of signal injection, it is possible to avoid the unobservable working points which lead to poor speed observation. To do so, the existing methods aim at avoiding the low stator frequencies. They are nonetheless difficult to use for real applications since they lack flexibility and do not take into account some industrial constraints. The approach presented in this paper consists in formulating all the working constraints in order to build a cost function. By minimizing this cost function, the proposed optimal avoidance strategy is more flexible and can be applied for any industrial application.","PeriodicalId":234682,"journal":{"name":"2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116203346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}