Academic literature on the topic 'Observer based on emf estimation'

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Journal articles on the topic "Observer based on emf estimation"

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Wang, Song Lin, and Shun Yi Xie. "Position Sensorless DTC of BLDC Motor Driver Based on Sliding Mode Observer." Advanced Materials Research 805-806 (September 2013): 954–57. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.954.

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Direct torque control (DTC) which replaces the conventional current loop with torque loop can directly control the electromagnetic torque in order to reduce the torque error within the hysteresis bandwidth, and it can attenuated commutation torque ripple and the torque ripple of brushless DC (BLDC) motor with un-ideal back electromotive force (EMF) waveforms. Further, the key issue of feedback torque calculation in torque loop is the estimation of back-EMF in sensorless DTC of BLDC motor. So a sliding mode observer (SMO) is employed to estimate the back-EMF in real time. The torque and rotor speed can be derived from the estimated back-EMF. Simulation results demonstrate the proposed method is valid and effective.
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2

Almarhoon, Ali, Yuan Ren, and Z. Q. Zhu. "Influence of back-EMF and current harmonics on sensorless control performance of single and dual three-phase permanent magnet synchronous machines." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 2 (March 7, 2016): 744–63. http://dx.doi.org/10.1108/compel-12-2015-0441.

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Purpose – The purpose of this paper is to investigate the influence of back-EMF and current harmonics on position and speed estimation accuracy for single and dual three-phase (DTP) permanent magnet synchronous machines (PMSMs) with two fundamental-model-based sensorless control strategies which are widely utilized for AC machines, i.e. flux-linkage observer (FO) and simplified extended Kalman filter (EKF). Design/methodology/approach – The effect of distorted back-EMF is studied for sensorless vector control of single three-phase PMSM. For the influence of current harmonics, unlike the existing literature where the current harmonics are deliberately injected, in this paper, sensorless switching-table-based direct torque control (ST-DTC) strategies for DTP-PMSM which inherently suffer from non-sinusoidal stator currents in addition to the distorted back-EMF, are investigated experimentally. Findings – By employing the FO and simplified EKF-based sensorless vector control of single three-phase PMSM, it can be concluded that the rotor position estimation accuracy is less affected by the back-EMF harmonics when the simplified EKF method is utilized since it is less sensitive to such noises. When the influence of non-sinusoidal stator currents together with back-EMF harmonics is investigated for the conventional and modified ST-DTC of DTP-PMSM, it is indicated that the simplified EKF exhibits better position and speed estimation accuracy in both the conventional and modified ST-DTC strategies. In addition, its steady-state performance shows a slight superiority over that based on FO, in terms of flux and torque ripples, and THD of phase currents. For the dynamic performance, the estimated speed of simplified EKF shows less phase lag and fluctuations compared to that of FO. Originality/value – This paper introduces the influence of back-EMF and current harmonics on sensorless control performance for single and DTP PMSMs. Detailed experimental results show that the simplified EKF exhibits better rotor position and speed estimation accuracy compared to that of FO due to its higher noise-rejection ability.
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Han, Fei Fei, Zhong Hua Wang, and Tong Yi Han. "Sensorless Speed Control of Permanent-Magnet Synchronous Motor Based on a New Sliding-Mode Observer." Applied Mechanics and Materials 697 (November 2014): 397–401. http://dx.doi.org/10.4028/www.scientific.net/amm.697.397.

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In this paper, a new sensorless speed control strategy which is based on a new sliding-mode observer (SMO) is proposed for permanent-magnet synchronous motor (PMSM). The rotor position is estimated by the back electromotive force (EMF). In order to improve the estimation accuracy, the speed estimator is proposed, which replace the method of direct differential. The Lyapunov theory is applied to prove the stability of the designed system. The simulation results indicate that the proposed sensorless speed control system of permanent-magnet synchronous motor based on a new sliding-mode observer is effective and feasible.
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Wu, Tie Zhou, Ming Yue Wang, and Qin Xiao. "State of Charge Estimation of Power Lithium-Ion Battery Based on Sliding Mode Observer." Advanced Materials Research 805-806 (September 2013): 1692–99. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1692.

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The study of the application of the sliding mode observer method that estimates the state of charge. Based on the state space model of battery established on the model of improved EMF equivalent circuit, a sliding mode state observer is designed to help improve the jitter problem. Considering the nonlinear terms in the model for the analysis of the stability of the observer and the characteristics of the industry under its derivative, and using Lagrange mean value theory to guarantee the convergence conditions of the observer, the design parameters of the observer can thus be determined .Then, this thesis compares the simulation of this method under Matlab environment with the extended Kalman filter method. The results show that the method has higher estimation accuracy in the case of the same battery modeling errors. Therefore, the SOC estimation of the sliding mode observer can effectively reduce the state of charge estimation error introduced by the model error.
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Yang, J., M. Dou, and D. Zhao. "Iterative sliding mode observer for sensorless control of five-phase permanent magnet synchronous motor." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 6 (December 1, 2017): 845–57. http://dx.doi.org/10.1515/bpasts-2017-0092.

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AbstractDue to the star connection of the windings, the impact of the third harmonic which does not exist in three-phase permanent magnet synchronous motor (PMSM) cannot be ignored in five-phase PMSM. So the conventional sensorless control methods for three-phase PMSM cannot be applied for five-phase PMSM directly. To achieve the sensorless control for five-phase PMSM, an iterative sliding mode observer (ISMO) is proposed with the consideration of the third harmonic impact. First, a sliding mode observer (SMO) is designed based on the fivephase PMSM model with the third harmonic to reduce the chattering and obtain the equivalent signal of the back electromotive force (EMF). Then, an adaptive back EMF observer is built to estimate the motor speed and rotor position, which eliminates the low-pass filter and phase compensation module and improves the estimation accuracy. Meanwhile, by iteratively using the SMO in one current sampling period to adjust the sliding mode gains, the sliding mode chattering and estimation errors of motor speed and rotor position are further reduced. Besides, the stability of the SMO and the adaptive back EMF observer are demonstrated in detail by Lyapunov stability criteria. Experiment results verify the effectiveness of the proposed observer for sensorless control of five-phase PMSM.
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Petro, Viktor, and Karol Kyslan. "Design and Simulation of Direct and Indirect Back EMF Sliding Mode Observer for Sensorless Control of PMSM." Power Electronics and Drives 5, no. 1 (January 1, 2020): 215–28. http://dx.doi.org/10.2478/pead-2020-0016.

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Abstract This article compares two sensorless control algorithms for a permanent magnet synchronous machine (PMSM) based on the back-EMF sliding mode observer (SMO). Indirect SMO (I-SMO) treats the back-EMF voltages as a disturbance. Direct SMO (D-SMO) considers back-EMF voltages as state-space variables. The same phase-locked loop (PLL) is used for both observers for extraction of the rotor position and speed values from the observed back-EMF voltages. In a sensorless control, the observed speed is used as feedback for the PI controller, and the observed position is used in the Park transformations. Both observers have been implemented and tested with standard field-oriented control. Simulation results indicate rather comparable speed and position estimation precision for both, but the D-SMO indicates slightly higher precision in steady-state. Even more, a tuning procedure of the D-SMO is more straightforward when compared to the I-SMO. Thus, the D-SMO was further verified experimentally with the OP 5600 rapid prototyping device and with a 350 W PMSM drive. Experimental results of the D-SMO are included at the end of the paper.
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Pei, Pei, Zhongcai Pei, Zhengqiang Shi, Zhiyong Tang, and Yang Li. "Sensorless Control for Joint Drive Unit of Lower Extremity Exoskeleton with Cascade Feedback Observer." Mathematical Problems in Engineering 2018 (October 30, 2018): 1–11. http://dx.doi.org/10.1155/2018/3029514.

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In this paper, a sensorless control method for joint drive unit driven by BLDC motor of low extremity exoskeleton, cascade feedback observer identification method, is proposed. The cascade feedback observer identification method is based on improved Integral-Switching-Function Sliding-Mode-Observer (ISF-SMO) and adaptive FIR filter. The improved Integral-Switching-Function Sliding-Mode-Observer is used to identify the back-EMF of motor. The sliding mode surface redesigned according to Integral-Switching-Function (ISF) eliminates the inevitable chattering problem in conventional Sliding-Mode-Observer (SMO). The stability condition of Integral-Switching-Function Sliding-Mode-Observer is obtained with Lyapunov function. Meanwhile, considering the estimation error and system instability caused by the mismatch between the actual resistance value (Rs) and the set resistance value, the LMS algorithm is used to estimate the resistance value online according to the structure of adaptive FIR filter. When system is running, the modified Integral-Switching-Function Sliding-Mode-Observer and adaptive FIR filter are used to modify the back-EMF and the resistance value by cascading feedback relation, and the modified back-EMF value is taken as the final output of the system. Because of considering the uncertainty of resistance caused by temperature variation, the robustness and stability of the cascade feedback observer can be improved. Meanwhile, higher estimation accuracy is obtained, and operation range of sensorless control is extended, which is suitable for motor in low speed region. Finally, the correctness and validity of the proposed method are verified by simulations and experiments.
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Urbanski, K. "Determining the observer parameters for back EMF estimation for selected types of electrical motors." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 4 (August 1, 2017): 439–47. http://dx.doi.org/10.1515/bpasts-2017-0049.

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AbstractIn the paper a procedure for determining the observer parameters for selected types of electrical motors is discussed. The procedure is based on the identity observer developed by Luenberger. The paper presents determining the parameters using calculation examples for the DC motor and also for the permanent magnet synchronous motor (PMSM), which utilize the extended state vector to estimate the back electromotive force (BEMF). Presented observer for PMSM does not need to use the information about load torque. The main task of this study is to show how to utilize these general theory to a specified type of motors. Such procedure avoids the use of time-consuming methods of the parameters selection, which are based on random algorithms or the computational intelligence.
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Gan, Minggang, and Chenyi Wang. "An Adaptive Nonlinear Extended State Observer for the Sensorless Speed Control of a PMSM." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/807615.

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This paper presents a sensorless speed control strategy for a permanent-magnet synchronous motor (PMSM) based on an adaptive nonlinear extended state observer (ANLESO). In this paper, an extended state observer (ESO), which takes back-EMF (back electromotive force) as an extended state, is used to estimate the rotor position and the rotor speed because of its simpler structure and higher accuracy. Both linear ESO (LESO) and nonlinear ESO (NLESO) are considered to estimate the back-EMF of PMSM, and NLESO is finally implemented due to its obvious advantage in convergence. The convergence characteristics of the estimation error of the observer are analyzed by the Lyapunov theory. In order to take both stability and steady-state error into consideration, an adaptive NLESO is proposed, which adaptively adjusts the parameters of NLESO to a compromised value. The performance of the proposed method was demonstrated by simulations and experiments.
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Astik, Mitesh B., Praghnesh Bhatt, and Bhavesh R. Bhalja. "Bi-Directional Position and Speed Estimation Algorithm for Sensorless Control of BLDC Motor." Electrical, Control and Communication Engineering 14, no. 2 (December 1, 2018): 125–33. http://dx.doi.org/10.2478/ecce-2018-0015.

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AbstractThe observer design for estimation of back EMF to control the Brushless DC (BLDC) motor is proposed in this paper. Rotor position of the BLDC motor is estimated using the sequence of estimated back EMF. During speed reversal of motor, the actual and estimated values of speed fail to track the reference speed and if corrective action is not taken by the observer, the motor goes into the unstable region. To overcome this problem, the speed estimation algorithm is proposed for BLDC motor control during its speed reversal operation. Infinite Impulse Response (IIR) Butterworth first order low-pass filters are used in the observer for smoothing the estimated back EMFs of the BLDC motor. A new controller scheme based on Modified Hybrid Fuzzy PI (MHFPI) controller is proposed to control the speed of the BLDC motor. The effectiveness of the proposed method has been validated through simulations for different disturbances such as step changes in the reference speed and load torque of the motor and results are compared with the existing methods.
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Dissertations / Theses on the topic "Observer based on emf estimation"

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Tamagnini, Filippo. "EKF based State Estimation in a CFI Copolymerization Reactor including Polymer Quality Information." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20235/.

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State estimation is an integral part of modern control techniques, as it allows to characterize the state information of complex plants based on a limited number of measurements and the knowledge of the process model. The benefit is twofold: on one hand it has the potential to rationalize the number of measurements required to monitor the plant, thus reducing costs, on the other hand it enables to extract information about variables that have an effect on the system but would otherwise be inaccessible to direct measurement. The scope of this thesis is to design a state estimator for a tubular copolymerization reactor, with the aim to provide the full state information of the plant and to characterize the quality of the product. Due to the fact that, with the existing set of measurements, only a small number of state variables can be observed, a new differential pressure sensor is installed in the plant to provide the missing information, and a model for the pressure measurement is developed. Following, the state estimation problem is approached rigorously and a comprehensive method for analyzing, tuning and implementing the state estimator is assembled from scientific literature, using a variety of tools from graph theory, linear observability theory and matrix algebra. Data reduction and visualization techniques are also employed to make sense of high dimensional information. The proposed method is then tested in simulations to assess the effect of the tuning parameters and measured set on the estimator performance during initialization and in case of estimation with plant-model mismatch. Finally, the state estimator is tested with plant data.
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Nie, Chenglei. "Observer-based robust fault estimation for fault-tolerant control." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6901.

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A control system is fault-tolerant if it possesses the capability of optimizing the system stability and admissible performance subject to bounded faults, complexity and modeling uncertainty. Based on this definition this thesis is concerned with the theoretical developments of the combination of robust fault estimation (FE) and robust active fault tolerant control (AFTC) for systems with both faults and uncertainties. This thesis develops robust strategies for AFTC involving a joint problem of on-line robust FE and robust adaptive control. The disturbances and modeling uncertainty affect the FE and FTC performance. Hence, the proposed robust observer-based fault estimator schemes are combined with several control methods to achieve the desired system performance and robust active fault tolerance. The controller approaches involve concepts of output feedback control, adaptive control, robust observer-based state feedback control. A new robust FE method has been developed initially to take into account the joint effect of both fault and disturbance signals, thereby rejecting the disturbances and enhancing the accuracy of the fault estimation. This is then extended to encompass the robustness with respect to modeling uncertainty. As an extension to the robust FE and FTC scheme a further development is made for direct application to smooth non-linear systems via the use of linear parameter-varying systems (LPV) modeling. The main contributions of the research are thus: - The development of a robust observer-based FE method and integration design for the FE and AFTC systems with the bounded time derivative fault magnitudes, providing the solution based on linear matrix inequality (LMI) methodology. A stability proof for the integrated design of the robust FE within the FTC system. - An improvement is given to the proposed robust observer-based FE method and integrated design for FE and AFTC systems under the existence of different disturbance structures. - New guidance for the choice of learning rate of the robust FE algorithm. - Some improvement compared with the recent literature by considering the FTC problem in a more general way, for example by using LPV modeling.
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Patel, Nitinkumar Hasmukhlal. "Sliding mode observer based schemes for tyre/road friction estimation." Thesis, University of Leicester, 2010. http://hdl.handle.net/2381/8759.

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New system technologies are continuously improving the performance of vehicles with regard to safety, comfort, stability and the environment. The development of control systems based on anti-lock braking system, active steering control, adaptive cruise control, collision avoidance, electronic stability programme or roll-over prevention systems, facilitated these improvements. In order to maximise the benefits from such devices, information about the tyre/road friction parameter is required in real-time. As it is impractical to measure the tyre/road friction coefficient, estimation from other available parameters is essential. In this thesis, the main theoretical contribution is the development of sliding mode schemes for tyre/road friction estimation. In the first part of this thesis, a sliding mode based scheme is designed for a braking scenario. The scheme is designed to maintain the longitudinal slip value associated with the tyre road contact patch at an optimum value utilising a sliding mode controller, subject to varying road conditions. The stability of the controller is proven using a Lyapunov function and Linear Matrix Inequality (LMI) method. An analysis of the designed scheme in the presence of imperfect measurement of wheel angular velocity is also presented. The sliding mode scheme is also compared with an adaptive scheme from the literature. The comparison study shows that the sliding mode based scheme appears more robust than the adaptive scheme, and the simulation results are supported by the analysis. Another key contributions in this thesis is the development of a sliding mode based scheme which is independent of the underlying friction model. This distinguishes the work proposed in this thesis from the existing literature. Finally a comparative study is presented for the observers considered in this thesis using three different friction models. The results for different road conditions show that the sliding mode based schemes out-perform the adaptive scheme for the tests undertaken.
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Qian, Lu [Verfasser]. "Observer-Based Fault Detection and Estimation of Rolling Element Bearing Systems / Lu Qian." Düren : Shaker, 2019. http://d-nb.info/1190525682/34.

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Al-Durra, Ahmed Abad. "MODEL-BASED ESTIMATION FOR IN-CYLINDER PRESSURE OF ADVANCED COMBUSTION ENGINES." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281715345.

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Schaal, Peter. "Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33247.

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Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used to obtain data for this purpose. Steady-state engine testing is still regarded as the golden standard, where approximately 90% of testing time is wasted waiting for the engine to stabilize. Rapid dynamic engine testing, as a replacement for the conventional steady-state method, has the potential to significantly reduce the time required for characterisation. However, even by using state of the art measurement equipment, dynamic engine testing introduces the problem that certain variables are not directly measurable due to the excitation of the system dynamics. Consequently, it is necessary to develop methods that allow the observation of not directly measurable quantities during transient engine testing. Engine testing for the characterisation of the engine air-path is specifically affected by this problem since the air mass flow entering the cylinder is not directly measurable by any sensor during transient operation. This dissertation presents a comprehensive methodology for engine air charge characterisation using dynamic test data. An observer is developed, which allows observation of the actual air mass flow into the engine during transient operation. The observer is integrated into a dual-ramp testing procedure, which allows the elimination of unaccounted dynamic effects by averaging over the resulting hysteresis. A simulation study on a 1-D gas dynamic engine model investigates the accuracy of the developed methodology. The simulation results show a trade-off between time saving and accuracy. Experimental test result confirm a time saving of 95% compared to conventional steady-state testing and at least 65% compared to quasi steady-state testing while maintaining the accuracy and repeatability of conventional steady-state testing.
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Ertugrul, Baris Tugrul. "Sensorless Vector Control Of Induction Motor Based On Flux And Speed Estimation." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610297/index.pdf.

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The main focus of the study is the implementation of techniques regarding flux estimation and rotor speed estimation by the use of sensorless closed-loop observers. Within this framework, the information about the mathematical representation of the induction motor, pulse width modulation technique and flux oriented vector control techniques together with speed adaptive flux estimation &ndash
a kind of sensorless closed loop estimation technique- and Kalman filters is given. With the comparison of sensorless closed-loop speed estimation techniques, it has been attempted to identify their superiority and inferiority to each other by the use of simulation models and real-time experiments. In the experiments, the performance of the techniques developed and used in the thesis has been examined under extensively changing speed and load conditions. The real-time experiments have been carried out by the use of TI TMS320F2812 digital signal processor, XILINX XCS2S150E Field Programmable Gate Array (FPGA), control card and the motor drive card Furthermore, Matlab &ldquo
Embedded Target for the TI C2000 DSP&rdquo
and &ldquo
Code Composer Studio&rdquo
software tools have been used. The simulations and experiments conducted in the study have illustrated that it is possible to increase the performance at low speeds at the expense of increased computational burden on the processor. However, in order to control the motor at zero speed, high frequency signal implementation should be used as well as a different electronic hardware.
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Khanchoul, Mohamed. "Contribution au développement de la partie électromécanique d’un compresseur pour climatisation de véhicule électrique." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112384/document.

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Cette thèse s'inscrit dans le cadre du projet Compacité qui vise à développer un compresseur électrique pour véhicules électriques à l’aide d’une démarche mécatronique. Dans cette thématique, le rôle du LGEP est de développer la partie électromécanique du compresseur. Cette thèse est constituée de deux parties, la première concerne la conception d’un moteur pour le compresseur et la deuxième a trait à la commande sans capteur mécanique de ce moteur. La première partie de la thèse est d'abord consacrée au dimensionnement d'une machine électrique pour un compresseur électrique. Le cahier des charges impose une machine compacte (97mm de diamètre et une profondeur inférieure à 50mm) et ayant une puissance massique élevée (6kW pour une masse de 1.8kg). Au préalable, un modèle analytique a été développé pour effectuer un dimensionnement rapide. Par la suite, la méthode des éléments finis a été appliquée à différents modèles physiques (magnétique, thermique, mécanique (résistance des matériaux et vibration)) pour une étude approfondie de la structure choisie. A l'issue de ces études, un prototype et un banc expérimental ont été réalisés. Dans un second temps, des algorithmes de commande avec ou sans capteur mécanique ont été étudiés pour le pilotage du moteur. La particularité de cette deuxième partie de thèse est la réalisation d'une commande peu gourmande en temps de calcul et implantable dans des microcontrôleurs de faibles performances. A l'issue de cette partie, une nouvelle loi de commande appelée commande passive échantillonnée ainsi qu'un observateur adaptatif étendu (observateur fondé sur l'estimation des fem) ont été développés et testés sur un banc expérimental
This thesis is part of the project Compacite which aims to develop an electric compressor for electrical vehicles using a mechatronic approach. In this way, the LGEP contribution is to develop the electromechanical part of the compressor.The document is divided in two parts: the first one is related to the design of the motor and the second part is dedicated to the sensorless control.In the first part, the electromagnetic design is proposed to comply with the industrial constraints according to the compressor operation. The specifications require a compact motor (external diameter equal to 97 mm and an active depth less than 50 mm) and a good power/mass ratio (6 kW for a weight of 1.8 kg). At first the design is based on an analytical model in order to obtain a fast sizing. Thereafter the finite element method is used for multiphysical studies (magnetic, thermal and mechanical (in terms of strength of materials and vibration)). A prototype is built and characterized on a test bench. In the second part, some algorithmic control laws have been developed with sensor and sensorless control. In this part a particular control law (sampled data passivity based control) with a low algorithmic cost has been developed for driven the motor and has been validated on the test bench. At the end an observer based on the estimation of the electromotive force is used for sensorless control and validated on the test bench
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Yang, Hanlong. "Estimation and fault diagnostics in nonlinear and time delay systems based on unknown input observer methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24368.pdf.

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López, Estrada Francisco Ronay. "Model-based fault diagnosis observer design for descriptor LPV system with unmeasurable gain scheduling." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0162/document.

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Ce mémoire de thèse est consacré à la conception de méthodes de diagnostic à base de modèles fondées sur les observateurs pour les systèmes non linéaires modélisés comme des systèmes singuliers (D) linéaires à paramètres variants (LPV), notés D-LPV (Descriptor-Linear Parameter Varying). Les systèmes D-LPV constituent une classe particulière de systèmes approximant avec un certain degré de précision la dynamique des systèmes complexes non linéaires à partir d’une combinaison de modèles linéaires locaux pondérés par des fonctions convexes d'ordonnancement. Dans le contexte de l’apparition de défauts capteurs ou actionneurs, ce travail de thèse s’attache aux systèmes pour lesquels ces fonctions d'ordonnancement sont non mesurables mais dépendent de l'état du système. Afin de détecter et isoler des défauts, ce travail de thèse développe des synthèses d'observateurs appropriés en développant des nouvelles conditions suffisantes en termes d’inégalités matricielles linéaires (LMI) pour garantir la synthèse de résidus sensibles aux défauts et robustes aux erreurs d’estimation inhérentes aux fonctions d'ordonnancement non mesurables. - Étendant des méthodes H∞ afin d’effectuer l'estimation d'état, la détection de pannes, la localisation et la reconstruction de défaut sur les capteurs ; - Garantissant une sensibilité “optimale” aux pannes vis-À-Vis du rejet de perturbations au travers le développement d’observateurs de type H_/H∞. À cette fin, le mémoire de thèse est organisé en cinq chapitres : Le Chapitre 1 est consacré à l’introduction générale, aux objectifs et contributions de ce travail. Le Chapitre 2 présente les éléments nécessaires pour décrire la représentation, la modélisation, les propriétés, l'analyse et la conception d'observateur pour les systèmes D-LPV ainsi qu’un état de l’art détaillé des travaux associés à ce thème de recherche. Le Chapitre 3 est dédié au développement de trois méthodes différentes fondées sur la théorie H∞ pour concevoir des observateurs de détection de défaut pour les systèmes D-LPV. Les méthodes proposées sont appliquées à un exemple dans le cadre de la détection de défaut capteurs. L’isolation de ces défauts est mise en œuvre au travers un banc d’observateurs et les performances de chacune des trois méthodes sont comparées. Le Chapitre 4 propose une méthode de détection de défauts sur la base d’observateurs établis sur le principe H_/H∞, tenant compte ainsi d'un meilleur compromis entre la sensibilité aux pannes et la robustesse aux perturbations. De nouvelles conditions suffisantes à l’aide de LMI sont proposées afin de résoudre le problème de synthèse du gain des observateurs. Le dernier chapitre est dédié à la conclusion générale et à l’analyse de problèmes ouverts pouvant être abordés dans des travaux futurs
This work is dedicated to the synthesis of model-Based fault detection and isolation (FDI) techniques based on observers for nonlinear systems modeled as Descriptor-Linear Parameter Varying (D-LPV) systems. D-LPV systems are a particular class of systems that can represent (or approximate in some degree of accuracy), complex nonlinear systems by a set of linear local models blended through convex parameter-Dependent scheduling functions. The global D-LPV System can describe both time-Varying and nonlinear behavior. Nevertheless, in many applications the time-Varying parameters in the scheduling functions could be unmeasurable. Models which depend on unmeasurable scheduling functions cover a wide class of nonlinear systems compared to models with measurable scheduling functions, but the design of control schemes for D-LPV systems with unmeasurable scheduling functions are more difficult than those with a measurable one, because the design of such control schemes involve the estimation of the scheduling vector. This topic is addressed in this work by considering the following main targets: • to design FDI in D-LPV systems based on -H∞ observers in order to guarantee robustness against disturbances and errors due the unmeasurable gain scheduling functions • to extend the proposed -H∞ methods to perform state estimation and fault detection, isolation and fault magnitude estimation in the case of sensor faults • to guarantee the best trade-Off between fault sensitivity and disturbance rejection by developing H_/H∞ fault detection observers for D-LPV systems. The thesis is organized as follows Chapter 1 is dedicated to provide a general introduction, the objectives and contribution of this work.Chapter 2 is organized in order to provide the minimum necessary elements to describe the representation, modeling, properties, analysis, and observer design of D-LPV systems. Chapter 2 is also dedicated to a detailed review of the state of the art. Chapter 3 is dedicated to the development of three different methods to design fault detection observers for D-LPV systems based on H∞ theory. Finally, the proposed methods are applied to an example, for sensor fault detection and isolation by means of an observer bank, in order to compare the performance of each method. Chapter 4 is dedicated to the design of a FDI method based on observers with H_/H∞ performance. Based on the H_/H∞ approach, which considers the best trade-Off between fault sensitivity and robustness to disturbance, adequate LMIs are obtained to guarantee sufficient conditions for the design problem. In order to illustrate the effectiveness of the proposed techniques, an example is considered
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Books on the topic "Observer based on emf estimation"

1

Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. Observer-Based Fault Estimation Techniques. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67492-6.

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Zhang, Ke. Observer-Based Fault Estimation and Accomodation for Dynamic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Zhang, Ke, Bin Jiang, and Peng Shi. Observer-Based Fault Estimation and Accomodation for Dynamic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33986-8.

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Vaez-Zadeh, Sadegh. Rotor Position and Speed Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0006.

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The ultimate importance of rotor position and speed information in permanent magnet synchronous (PMS) machines control, and the industry interest to the rotor and speed sensorless systems as a cost-saving and practical alternative to the motor control with mechanical sensors are emphasized. Major position and speed estimation schemes are then presented in detail. These are the: back electromotive force (EMF)-based method; flux linkage method; hypothesis rotor position method; saliency-based method, including high frequency signal injection and inverter switching harmonics schemes; and finally, the observer-based method, including state observer and extended Kalman filter-based schemes. Each scheme was discussed by presenting the corresponding fundamental principles, followed by the appropriate motor model, estimation procedure, and the implementation. Demanding criteria such as accuracy, robustness, swiftness, and capability of working over the entire range of motor operation are discussed with each method.
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Shi, Peng, Ke Zhang, Bin Jiang, and Vincent Cocquempot. Observer-Based Fault Estimation Techniques. Springer, 2018.

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Shi, Peng, Ke Zhang, Bin Jiang, and Vincent Cocquempot. Observer-Based Fault Estimation Techniques. Springer, 2017.

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Shi, Peng, Ke Zhang, and Bin Jiang. Observer-Based Fault Estimation and Accomodation for Dynamic Systems. Springer, 2012.

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Vaez-Zadeh, Sadegh. Parameter Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0007.

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In this chapter, the estimation of permanent magnetic synchronous (PMS) motor parameters, including stator winding resistance, motor inductances, and magnitude of permanent magnet flux linage, is presented in two main categories, i.e., offline and online. Several offline schemes, including DC and AC standstill tests, no-load test, load test, and vector control schemes, are presented for estimation of all the motor parameters. Major online schemes used in the estimation of PMS motor parameters are also presented in this chapter. They include closed-loop observer-based estimation, model reference adaptive system (MRAS)-based estimation, recursive least-squares (RLS) estimation, and extended Kalman filter scheme. The online schemes take into account the motor parameter variations during motor operation. The motor model, estimation procedure, and the connection of estimation systems to the motor control system are discussed for each parameter estimation scheme.
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Book chapters on the topic "Observer based on emf estimation"

1

Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "AP-Based Fault Estimation." In Observer-Based Fault Estimation Techniques, 105–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_6.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Introduction." In Observer-Based Fault Estimation Techniques, 1–7. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_1.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Conclusions." In Observer-Based Fault Estimation Techniques, 177–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_10.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Fault Estimation of Continuous-Time Systems in Finite-Frequency Domain." In Observer-Based Fault Estimation Techniques, 9–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_2.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Fault Estimation of Discrete-Time Systems in Finite-." In Observer-Based Fault Estimation Techniques, 27–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_3.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Fault Estimation of Fuzzy Systems in Finite- Domain." In Observer-Based Fault Estimation Techniques, 51–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_4.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Fault Estimation with Finite-Time Convergence Specification." In Observer-Based Fault Estimation Techniques, 87–104. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_5.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "$$H_\infty $$ H ∞ and $$H_2$$ H 2 Distributed Fault Estimation for." In Observer-Based Fault Estimation Techniques, 127–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_7.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "Adaptive Technique-Based Distributed Fault Estimation for MAS." In Observer-Based Fault Estimation Techniques, 143–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_8.

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Zhang, Ke, Bin Jiang, Peng Shi, and Vincent Cocquempot. "AP-Based Distributed Fault Estimation for MAS." In Observer-Based Fault Estimation Techniques, 157–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67492-6_9.

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Conference papers on the topic "Observer based on emf estimation"

1

Noergaard, Christian, Michael M. Bech, and Daniel B. Roemer. "A Motion Observer With On-Line Parameter Estimation for Moving-Coil Based Digital Valves in Digital Displacement Machines." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1543.

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In this paper, a method is developed to estimate the parameters and motion of a moving coil actuator in the digital valves of Digital Displacement machines. The parameter estimation is carried out using three simple distinctive schemes from which certain electrical and magnetic parameters may be estimated. The parameter estimation method uses simple adaptation laws to update the moving coil actuator parameters used to estimate the valve plunger motion in an observer. The observer estimates the velocity using the back electro-motive force (back-emf) induced when moving the coil based on current and voltage measurements, but without any mechanical sensors. The valve movement of digital valves is confined by mechanical end-stops enabling estimating the valve position through integration of the estimated velocity relatively accurate. The observer depends on precise knowledge of the electrical dynamics to accurately estimate the valve motion. When the parameters are converged through adaptation the observer proves to be capable of tracking the valve motion relatively accurate, however some deviation occur at the mechanical end-stops of the valve. The parameter estimation method and the observer is implemented and tested off-line when using experimental data obtained from a newly developed digi-valve prototype which uses a moving coil actuator as the force producing element.
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Bolognani, Silverio, Sandro Calligaro, and Roberto Petrella. "Design issues and estimation errors analysis of back-EMF based position and speed observer for SPM synchronous motors." In 2011 IEEE Symposium on Sensorless Control for Electrical Drives (SLED). IEEE, 2011. http://dx.doi.org/10.1109/sled.2011.6051558.

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Zhuang, Zhexin, Zhaolong Sun, and Zhentian Liu. "EKF-based online angle-error estimation of PMLSM using disturbance observer." In 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). IEEE, 2020. http://dx.doi.org/10.1109/ipemc-ecceasia48364.2020.9367862.

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Baccouche, Ines, Bilal Manai, and Najoua Essoukri Ben Amara. "SoC estimation of LFP Battery Based on EKF Observer and a Full Polynomial Parameters-Model." In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-spring48590.2020.9129449.

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Ahmad, Aftab, Kjell Andersson, and Ulf Sellgren. "A Comparative Study of Friction Estimation and Compensation Using Extended, Iterated, Hybrid, and Unscented Kalman Filters." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12997.

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Transparency is a key performance evaluation criterion for haptic devices, which describes how realistically the haptic force/torque feedback is mimicked from a virtual environment or in case of master-slave haptic device. Transparency in haptic devices is affected by disturbance forces like friction between moving parts. An accurate estimate of friction forces for observer based compensation requires estimation techniques, which are computationally efficient and gives reduced error between measured and estimated friction. In this work different estimation techniques based on Kalman filter, such as Extended Kalman filter (EKF), Iterated Extended Kalman filter (IEKF), Hybrid extended Kalman filter (HEKF) and Unscented Kalman filter (UKF) are investigated with the purpose to find which estimation technique that gives the most efficient and realistic compensation using online estimation. The friction observer is based on a newly developed friction smooth generalized Maxwell slip model (S-GMS). Each studied estimation technique is demonstrated by numerical and experimental simulation of sinusoidal position tracking experiments. The performances of the system are quantified with the normalized root mean-square error (NRMSE) and the computation time. The results from comparative analyses suggest that friction estimation and compensation based on Iterated Extended Kalman filter both gives a reduced tracking error and computational advantages compared to EKF, HEKF, UKF, as well as with no friction compensation.
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Jun Sung Park, Sung Hun Lee, Cheol Moon, and Young Ahn Kwon. "State observer with stator resistance and back-EMF constant estimation for sensorless PMSM." In 2010 IEEE Region 10 Conference (TENCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/tencon.2010.5685898.

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Comanescu, Mihai. "Rotor position estimation of PMSM by Sliding Mode EMF observer under improper speed." In 2010 IEEE International Symposium on Industrial Electronics (ISIE 2010). IEEE, 2010. http://dx.doi.org/10.1109/isie.2010.5637886.

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Ilioudis Vasilios, C., and I. Margaris Nikolaos. "PMSM sliding mode observer for speed and position estimation using modified back EMF." In 2008 13th International Power Electronics and Motion Control Conference. IEEE, 2008. http://dx.doi.org/10.1109/epepemc.2008.4635415.

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Lazzari, Thiago, Filipe Scalcon, Cesar Volpato, Thieli Gabbi, Marcio Stefanelo, and Rodrigo P. Vieira. "Sensorless Control of Nonsinusoidal Back-EMF PMSM Based on State Observer." In 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC). IEEE, 2019. http://dx.doi.org/10.1109/cobep/spec44138.2019.9065788.

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Shuying Yang, Dawei Ding, Xi Li, and Xing Zhang. "Back-EMF based sliding mode observer for vector control of induction machine." In 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC 2016 - ECCE Asia). IEEE, 2016. http://dx.doi.org/10.1109/ipemc.2016.7512571.

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