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Relevant bibliographies by topics / Predictive motor control

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Academic literature on the topic 'Predictive motor control'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "Predictive motor control"

1

G. Bartsch, Arthur, Gabriel Hermann Negri, Camila R. Scalabrin, Mariana S. M. Cavalca, Ademir Nied, and José de Oliveira. "Predictive Control Approach For Permanent Magnet Synchronous Motor Drive." Eletrônica de Potência 20, no. 4 (2015): 395–403. http://dx.doi.org/10.18618/rep.2015.4.2567.

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Kozakevych, Ihor, and Kyrylo Budnikov. "Predictive control of induction motor drive." E3S Web of Conferences 280 (2021): 05006. http://dx.doi.org/10.1051/e3sconf/202128005006.

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The work is devoted to the study of the possibilities of using the predictive torque control system instead of the currently widely used direct torque control system. Aspects of using the system of direct torque control of an induction motor are considered and it is found that its significant disadvantage is the variable frequency of semiconductor switches. As a further development of the direct torque control system, a predictive torque control system is analyzed, which contains blocks for estimating unmeasured state variables, as well as predicting the state of a dynamic system when applying

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3

Singh, Ravinesh, Godfrey C. Onwubol, Krishnileshwar Singh, and Ritnesh Ram. "DC Motor Control Predictive Models." American Journal of Applied Sciences 3, no. 11 (2006): 2096–102. http://dx.doi.org/10.3844/ajassp.2006.2096.2102.

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Singh. "DC Motor Control Predictive Models." American Journal of Applied Sciences 3, no. 11 (2006): 2096–102. http://dx.doi.org/10.3844/ajassp.2006.2196.2102.

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Li, Jian, Xiaoyan Huang, Feng Niu, Chaojie You, Lijian Wu, and Youtong Fang. "Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs." Energies 11, no. 8 (2018): 2051. http://dx.doi.org/10.3390/en11082051.

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Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper determinations of optimal voltage vectors and can further affect the control performance of motor systems. However, papers evaluating the motor control performance employing FCS-MPCC rarely consider prediction error and its utilization to weaken the influence of inaccurate prediction model. This paper investigates in depth the prediction error ca

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Hu, Mingmao, Feng Yang, Yi Liu, and Liang Wu. "Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor." Energies 15, no. 3 (2022): 1045. http://dx.doi.org/10.3390/en15031045.

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In this paper, a finite control set model-free predictive current control (FCS-MFPCC) of a permanent magnet synchronous motor is presented. The control scheme addresses the problems of large current fluctuation and decline of the motor system performance during parameter perturbation for the traditional finite control set model predictive current control (FCS-MPCC). Firstly, the mathematical model of the motor is analyzed and derived during parameter perturbation, and a new hyperlocal model of the motor is established based on this mathematical model. Secondly, a finite control set model-free

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Dumur, D., P. Boucher, and A. U. Ehrlinger. "Constrained Predictive Control for Motor Drives." CIRP Annals 45, no. 1 (1996): 355–58. http://dx.doi.org/10.1016/s0007-8506(07)63079-0.

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Haar, Shlomi, and Opher Donchin. "A Revised Computational Neuroanatomy for Motor Control." Journal of Cognitive Neuroscience 32, no. 10 (2020): 1823–36. http://dx.doi.org/10.1162/jocn_a_01602.

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We discuss a new framework for understanding the structure of motor control. Our approach integrates existing models of motor control with the reality of hierarchical cortical processing and the parallel segregated loops that characterize cortical–subcortical connections. We also incorporate the recent claim that cortex functions via predictive representation and optimal information utilization. Our framework assumes that each cortical area engaged in motor control generates a predictive model of a different aspect of motor behavior. In maintaining these predictive models, each area interacts

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Hu, Lian Jun, Xiao Hui Zeng, Hong Song, Xiao Long Huang, and Ming Liu. "The Research on Suppression Strategies for Electromagnetic Torque Ripples of Brushless DC Motors." Advanced Materials Research 910 (March 2014): 327–31. http://dx.doi.org/10.4028/www.scientific.net/amr.910.327.

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Despite of its remarkable active performances, brushless DC motors, which are widely used in mechanical engineering, have an obvious disadvantage in its high electromagnetic torque ripples. In the paper, a ripple suppression method based on predictive controls of stator currents is proposed according to analysis of causes electromagnetic torque ripples generate in commutation periods of brushless DC motors. First of all, a relative accurate prediction is acquired through DC motor on-line parameter corrections based on generalized predictive control algorithms. Then rolling optimizations make t

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HUANG, Yu-chuan, Dao-kui QU, Fang XU, and Xiao-lei REN. "Model predictive control and PID control on servo motor." Journal of Computer Applications 32, no. 10 (2013): 2944–47. http://dx.doi.org/10.3724/sp.j.1087.2012.02944.

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Dissertations / Theses on the topic "Predictive motor control"

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Jackson, Carl Patrick Thomas. "Motor learning and predictive control." Thesis, University of Nottingham, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519400.

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Fun, Wey. "Adaptive motor control using predictive neural networks." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/31065.

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Mamma-Graham, Adamantia S. "An intermittent predictive control approach to modelling sustained human motor control." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5425/.

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Although human sustained control movements are continuous in nature there is still controversy on the mechanisms underlying such physiological systems. A popular topic of debate is whether human motor control mechanisms could be modelled as engineering control systems, and if so, what control algorithm is most appropriate. Since the early years of modelling sustained control tasks in human motor control the servomechanism has been an adequate model to describe human tracking tasks. Another continuous-time system model that is often used to model sustained control tasks is the predictive contro

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Konara, Mudiyanselage Iresha Shamini Dharmasena. "Model Predictive Control of Five-Phase Permanent Magnet Assisted Synchronous Reluctance Motor." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1535203021942922.

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MOHAMED, MAHMOUD. "Model predictive control: an effective control approach for high performance induction machine drives." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3424942.

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Induction machine drives with various configurations are getting a lot of attention in several industrial applications. Due to this increasing demand in industrial applications, the significance of developing effective control approaches for obtaining a high dynamic performance from the induction machine drives became essential. Up to the present time, the control of induction machine drives using power converters has been based on the principle of mean value, using pulse width modulation with linear controllers in a cascaded structure. Recent research works have demonstrated that it is possib

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CIMINI, Gionata. "Complexity certification and efficient implementation of model predictive control for embedded applications." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245310.

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A causa delle alte frequenze di campionamento e delle ridotte risorse computazionali, la certificazione di complessità ha un ruolo chiave nella determinazione del successo del Model Predictive Control (MPC) nelle applicazioni embedded. Questa tesi propone un algoritmo di certificazione per metodi active-set duali, che permette di calcolare esattamente il tempo massimo di risoluzione di un problema di Quadratic Programming (QP) parametrico, risultante ad esempio da formulazioni MPC lineari. Dato un problema MPC e una piattaforma di calcolo è quindi possibile certificare se il problema di ottimi

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França, Alex Pereira. "Controle preditivo não-linear baseado em multimodelos aplicado ao motor de indução." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258912.

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Orientador: Edson Bim<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-16T22:20:50Z (GMT). No. of bitstreams: 1 Franca_AlexPereira_M.pdf: 3058764 bytes, checksum: beb5e6bdbba91505ff0ef14262e6be5c (MD5) Previous issue date: 2010<br>Resumo: Uma abordagem preditiva global-local para o controle de um motor de indução é apresentado nesta tese. O conceito de controle preditivo diz respeito a uma classe de controladores que tem se desenvolvido muito no âmbito do controle de sistemas de conversão de

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Ibanez, Aurélien. "Emergence of complex behaviors from coordinated predictive control in humanoid robotics." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066325/document.

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Le problème de commande motrice de systèmes exécutant des activités multi-objectifs et fortement contraintes est à résoudre pour permettre l’émergence de comportements performants et robustes ; l’élaboration de stratégies complexes de coordination motrice est critique pour en assurer les performances, faisabilité et sécurité.Bien que les approches de commande prédictive multi-objectifs permettent la définition de stratégies complexes et sous contraintes coordonnant l’activité motrice du système, leur coût de calcul est un inconvénient critique à leur application.Le travail présenté dans ce man

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Kozubík, Michal. "Aplikace nelineárního prediktivního řízení pro pohon se synchronním motorem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400605.

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This thesis focuses on the possibilities of application of nonlinear model predictive control for electric drives. Specifically, for drives with a permanent magnet synchronous motor. The thesis briefly describes the properties of this type of drive and presents its mathematical model. After that, a nonlinear model of predictive control and methods of nonlinear optimization, which form the basis for the controller output calculation, are described. As it is used in the proposed algorithm, the Active set method is described in more detail. The thesis also includes simulation experiments focusing

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Osei-Boakye, Kwabena. "The development of diesel particulate matter (DPM) predictive model for the Barrick (Goldstrike) Meikle Mine /." abstract and full text PDF (UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1448333.

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Thesis (M.S.)--University of Nevada, Reno, 2007.<br>"August, 2007." Includes foldout illustrations. Includes bibliographical references (leaves 79-84). Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2008]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.

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Books on the topic "Predictive motor control"

1

Tahirovic, Adnan. Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning. Springer London, 2013.

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Han, Yaofei, Chao Gong, and Jinqiu Gao, eds. Model Predictive Control for AC Motors. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8066-3.

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Stalph, Patrick. Analysis and design of machine learning techniques: Evolutionary solutions for regression, prediction, and control problems. Springer Vieweg, 2014.

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Bogumil, Veniamin, and Sarango Duke. Telematics on urban passenger transport. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.

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The monograph discusses the application of telematics in dispatch control systems in urban passenger transport. The role of telematics as a technological basis in automating the solution of control tasks, accounting and analysis of the volume and quality of transport work in modern dispatch control systems on urban passenger transport is shown. Analytical models have been developed to estimate the capacity of a high-speed bus transportation system on a dedicated line. Mathematical models and algorithms for predicting passenger vehicle interior filling at critical stages of urban passenger tran

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Vaez-Zadeh, Sadegh. Predictive, Deadbeat, and Combined Controls. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0005.

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In this chapter, three control methods recently developed for or applied to electric motors in general and to permanent magnet synchronous (PMS) motors, in particular, are presented. The methods include model predictive control (MPC), deadbeat control (DBC), and combined vector and direct torque control (CC). The fundamental principles of the methods are explained, the machine models appropriate to the methods are derived, and the control systems are explained. The PMS motor performances under the control systems are also investigated. It is elaborated that MPC is capable of controlling the mo

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Vaez-Zadeh, Sadegh. Control of Permanent Magnet Synchronous Motors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.001.0001.

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This is the first comprehensive, coherent, and up-to-date book devoted solely to the control of permanent magnet synchronous (PMS) motors, as the fastest growing AC motor. It covers a deep and detailed presentation of major PMS motor modeling and control methods. The readers can find rich materials on the fundamentals of PMS motor control in addition to new motor control methods, which have mainly been developed in the last two decades, including recent advancements in the field in a systematic manner. These include extensive modeling of PMS motors and a full range of vector control and direct

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Vaez-Zadeh, Sadegh. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0001.

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An overview of permanent magnet synchronous (PMS) motors and the related control system are presented in this chapter as introductory materials for the rest of the book. The interconnections of the control system to the power electronic inverter and the motor are emphasized. In addition, the major parts of the system are overviewed. Pulse width-modulated voltage source inverter, as the most commonly used power converter in PMS motor drives, is briefly discussed. PMS motors configurations and operating principles are also presented after considering characteristics of permanent magnet materials

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Morton, Andrew. An investigation of an augmented reality display of predictive and historical trajectory information for manual control under misaligned visual-motor mappings. 2004.

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9

Swiney, Lauren. Activity, Agency, and Inner Speech Pathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796640.003.0013.

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Over the last thirty years the comparator hypothesis has emerged as a prominent account of inner speech pathology. This chapter discusses a number of cognitive accounts broadly derived from this approach, highlighting the existence of two importantly distinct notions of inner speech in the literature; one as a prediction in the absence of sensory input, the other as an act with sensory consequences that are themselves predicted. Under earlier frameworks in which inner speech is described in the context of classic models of motor control, I argue that these two notions may be compatible, provid

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Lœvenbruck, H., R. Grandchamp, L. Rapin, et al. A Cognitive Neuroscience View of Inner Language. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796640.003.0006.

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The nature of inner language has long been under the scrutiny of humanities, through the practice of introspection. The use of experimental methods in cognitive neurosciences provides complementary insights. This chapter focuses on wilful expanded inner language, bearing in mind that other forms coexist. It first considers the abstract vs. concrete (or embodied) dimensions of inner language. In a second section, it argues that inner language should be considered as an action-perception phenomenon. In a third section, it proposes a revision of the “predictive control” account, fitting with our

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Book chapters on the topic "Predictive motor control"

1

Miall, R. C. "The Cerebellum, Predictive Control and Motor Coordination." In Novartis Foundation Symposia. John Wiley & Sons, Ltd., 2007. http://dx.doi.org/10.1002/9780470515563.ch15.

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Naouar, Mohamed Wissem, Eric Monmasson, Ilhem Slama-Belkhodja, and Ahmad Ammar Naassani. "Predictive Current Control for a Synchronous Motor." In Power Electronic Converters. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118621196.ch11.

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Bhavani, N. P. G., M. Aruna, K. Sujatha, R. Vani, and N. Priya. "Sensorless Speed Control of Induction Motor Using Modern Predictive Control." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6981-8_53.

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Zhang, Guoqiang, Gaolin Wang, Nannan Zhao, and Dianguo Xu. "Starting Torque Control Strategy Based on Offset-Free Model Predictive Control Theory." In Permanent Magnet Synchronous Motor Drives for Gearless Traction Elevators. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9318-2_7.

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Singh, Abhaya Pal, Srikanth Yerra, and Ahmad Athif Mohd Faudzi. "Design of Robust Model Predictive Controller for DC Motor Using Fractional Calculus." In Studies in Infrastructure and Control. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3501-5_8.

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Zhou, Jinpeng, Xu Ma, Zhang Xu, and Qi Zhou. "Research on DC Motor Control Based on Predictive PI Algorithm." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00214-5_112.

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Penthala, Thanuja, Saravanan Kaliyaperumal, Vishnu Prasad Muddineni, and Anil Kumar Bonala. "Predictive Control Techniques for Induction Motor Drive for Industrial Applications." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5936-3_60.

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Miall, R. C., and D. M. Wolpert. "The Cerebellum as a Predictive Model of the Motor System: A Smith Predictor Hypothesis." In Neural Control of Movement. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1985-0_27.

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Bao, Xuefeng, Vahidreza Molazadeh, Albert Dodson, and Nitin Sharma. "Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered Exoskeleton and Functional Electrical Stimulation." In Advances in Motor Neuroprostheses. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38740-2_6.

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Xue, Yaru, Jian Zhou, Yuwen Qi, Huaiqiang Zhang, and Yong Ding. "Predictive Current Control for Three-Phase Asynchronous Motor with Delay Compensation." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7986-3_30.

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Conference papers on the topic "Predictive motor control"

1

Zhang, Jin, Guochang Ai, Zhu Liang, et al. "Predictive Power Control of Induction Motor Drives." In 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2021. http://dx.doi.org/10.1109/precede51386.2021.9681051.

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Thomas, Jean, and Anders Hansson. "Enumerative nonlinear model predictive control for linear induction motor using load observer." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915169.

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Wu, Lin, Xin Qi, Xiangyang Shi, Tao Su, Yi Deng, and Deming Xu. "Sensorless Predictive Control Methods for Induction Motor-An Overview." In 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2021. http://dx.doi.org/10.1109/precede51386.2021.9680918.

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Wang, Tao, Qiang Hou, and Xuehai Wang. "Improved Deadbeat Predictive Control of Asynchronous Motor." In 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019. http://dx.doi.org/10.1109/iciea.2019.8834113.

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Zbede, Y., S. M. Gadoue, D. J. Atkinson, and M. A. Elgendy. "Predictive sensorless control of induction motor drives." In 2015 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.7125443.

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Gatto, G., I. Marongiu, A. Serpi, and A. Perfetto. "Predictive Control of Synchronous Reluctance Motor Drive." In 2007 IEEE International Symposium on Industrial Electronics. IEEE, 2007. http://dx.doi.org/10.1109/isie.2007.4374760.

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Retif, Jean-Marie, Xuefang Lin-Shi, and Florent Morel. "Predictive Current Control for an Induction Motor." In 2008 IEEE Power Electronics Specialists Conference - PESC 2008. IEEE, 2008. http://dx.doi.org/10.1109/pesc.2008.4592491.

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Li, Yaohua, Zikun Liu, Xiaoyu Wang, Guixin Chen, Chao Ren, and Dongmei Liu. "Simplified Control Strategy for Permanent Magnet Synchronous Motor Model Predictive Torque Control." In 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2021. http://dx.doi.org/10.1109/precede51386.2021.9680873.

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Gao, Jianbo, Qi Li, Qiwu Wang, Wenxue Jiang, and Ralph Kennel. "Servo Press Drive using Model Predictive Control of Motor Current." In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2019. http://dx.doi.org/10.1109/precede.2019.8753200.

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Gao, Jianbo, Qi Li, Quan Yuan, et al. "Servo Press Drive Using Predictive Torque Control of Induction Motor." In 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2021. http://dx.doi.org/10.1109/precede51386.2021.9680950.

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Reports on the topic "Predictive motor control"

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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for th

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