Hyperparameter Bayesian Optimization of Gaussian Process Regression Applied in Speed-Sensorless Predictive Torque Control of an Autonomous Wind Energy Conversion System

This paper introduces a novel approach to speed-sensorless predictive torque control (PTC) in an autonomous wind energy conversion system, specifically utilizing an asymmetric double star induction generator (ADSIG). To achieve accurate estimation of non-linear quantities, the Gaussian Process Regre...

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Published in:	Energies Vol. 16; no. 12; p. 4738
Main Authors:	Hamoudi, Yanis, Amimeur, Hocine, Aouzellag, Djamal, Abdolrasol, Maher G. M., Ustun, Taha Selim
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2023
Subjects:	Algorithms Alternative energy sources Buildings and facilities Climate change Explicit knowledge Gaussian Process Regression Gaussian processes hyperparameter Bayesian optimization Machine learning Mathematical models Optimization predictive torque control predictive torque control; supervised learning algorithm; Gaussian Process Regression; sensorless speed control; hyperparameter Bayesian optimization sensorless speed control Sensors Simulation supervised learning algorithm T Technology Wind power
ISSN:	1996-1073, 1996-1073
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Abstract	This paper introduces a novel approach to speed-sensorless predictive torque control (PTC) in an autonomous wind energy conversion system, specifically utilizing an asymmetric double star induction generator (ADSIG). To achieve accurate estimation of non-linear quantities, the Gaussian Process Regression algorithm (GPR) is employed as a powerful machine learning tool for designing speed and flux estimators. To enhance the capabilities of the GPR, two improvements were implemented, (a) hyperparametric optimization through the Bayesian optimization (BO) algorithm and (b) curation of the input vector using the gray box concept, leveraging our existing knowledge of the ADSIG. Simulation results have demonstrated that the proposed GPR-PTC would remain robust and unaffected by the absence of a speed sensor, maintaining performance even under varying magnetizing inductance. This enables a reliable and cost-effective control solution.
AbstractList	This paper introduces a novel approach to speed-sensorless predictive torque control (PTC) in an autonomous wind energy conversion system, specifically utilizing an asymmetric double star induction generator (ADSIG). To achieve accurate estimation of non-linear quantities, the Gaussian Process Regression algorithm (GPR) is employed as a powerful machine learning tool for designing speed and flux estimators. To enhance the capabilities of the GPR, two improvements were implemented, (a) hyperparametric optimization through the Bayesian optimization (BO) algorithm and (b) curation of the input vector using the gray box concept, leveraging our existing knowledge of the ADSIG. Simulation results have demonstrated that the proposed GPR-PTC would remain robust and unaffected by the absence of a speed sensor, maintaining performance even under varying magnetizing inductance. This enables a reliable and cost-effective control solution.
Audience	Academic
Author	Yanis Hamoudi Maher G. M. Abdolrasol Hocine Amimeur Djamal Aouzellag Taha Selim Ustun
Author_xml	– sequence: 1 givenname: Yanis orcidid: 0000-0003-2901-5743 surname: Hamoudi fullname: Hamoudi, Yanis – sequence: 2 givenname: Hocine surname: Amimeur fullname: Amimeur, Hocine – sequence: 3 givenname: Djamal surname: Aouzellag fullname: Aouzellag, Djamal – sequence: 4 givenname: Maher G. M. orcidid: 0000-0002-8763-8167 surname: Abdolrasol fullname: Abdolrasol, Maher G. M. – sequence: 5 givenname: Taha Selim orcidid: 0000-0002-2413-8421 surname: Ustun fullname: Ustun, Taha Selim
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References	Goguelin (ref_28) 2021; 34 ref_58 ref_56 Perdikaris (ref_35) 2016; 13 ref_52 ref_51 Amirouche (ref_20) 2021; 8 Benlaloui (ref_14) 2014; 30 Ridhatullah (ref_23) 2021; 2 ref_19 ref_17 Myren (ref_53) 2021; 14 Ustun (ref_59) 2021; 9 Bounasla (ref_10) 2020; 53 Doucet (ref_34) 2008; Volume 3 Habibullah (ref_21) 2015; 62 ref_25 ref_24 ref_22 Galuzzi (ref_36) 2018; Volume 1 ref_27 Gielen (ref_1) 2019; 24 ref_26 Shintani (ref_29) 2021; 15 Basic (ref_12) 2019; 35 Aurora (ref_16) 2007; 38 ref_32 Mahendran (ref_43) 2012; 22 Ayala (ref_11) 2021; 68 Lizotte (ref_33) 2007; 7 Cai (ref_30) 2021; 114 ref_39 Housseini (ref_6) 2017; 9 ref_37 Wang (ref_38) 2014; 33 Abdolrasol (ref_57) 2021; 36 Meldgaard (ref_31) 2018; 149 Kumar (ref_13) 2015; 9 Abdessemed (ref_49) 2020; 40 Hamitouche (ref_8) 2020; 53 Hannan (ref_55) 2021; 57 Mousavi (ref_5) 2012; 43 Swersky (ref_40) 2013; 26 Benakcha (ref_47) 2017; 1 Dominguez (ref_18) 2013; 61 ref_45 Rasmussen (ref_50) 2010; 11 Galuzzi (ref_54) 2020; 17 Korzonek (ref_15) 2019; 93 ref_44 ref_42 ref_41 ref_3 ref_2 ref_9 Amimeur (ref_48) 2015; 6 ref_4 Benakcha (ref_46) 2018; 8 ref_7
References_xml	– ident: ref_56 doi: 10.3390/electronics10212689 – volume: 35 start-page: 724 year: 2019 ident: ref_12 article-title: Speed-Sensorless Vector Control of an Induction Generator Including Stray Load and Iron Losses and Online Parameter Tuning publication-title: IEEE Trans. Energy Convers. doi: 10.1109/TEC.2019.2952666 – ident: ref_32 – ident: ref_25 doi: 10.1109/EURCON.2007.4400678 – volume: 9 start-page: 496 year: 2015 ident: ref_13 article-title: Review on model reference adaptive system for sensorless vector control of induction motor drives publication-title: IET Electr. Power Appl. doi: 10.1049/iet-epa.2014.0220 – ident: ref_26 – volume: 24 start-page: 38 year: 2019 ident: ref_1 article-title: The role of renewable energy in the global energy transformation publication-title: Energy Strategy Rev. doi: 10.1016/j.esr.2019.01.006 – ident: ref_51 doi: 10.1145/1330598.1330647 – ident: ref_17 doi: 10.1007/978-0-8176-4893-0 – ident: ref_9 doi: 10.3390/en11010120 – volume: 8 start-page: 384 year: 2018 ident: ref_46 article-title: Backstepping control of dual stator induction generator used in wind energy conversion system publication-title: Int. J. Renew. Energy Res. – ident: ref_39 – ident: ref_42 – ident: ref_19 doi: 10.1080/15567036.2021.1902429 – volume: 13 start-page: 20151107 year: 2016 ident: ref_35 article-title: Model inversion via multi-fidelity Bayesian optimization: A new paradigm for parameter estimation in haemodynamics, and beyond publication-title: J. R. Soc. Interface doi: 10.1098/rsif.2015.1107 – volume: 1 start-page: 21 year: 2017 ident: ref_47 article-title: Control of dual stator induction generator integrated in wind energy conversion system publication-title: J. Energy Syst. doi: 10.30521/jes.351269 – volume: 9 start-page: 5588 year: 2017 ident: ref_6 article-title: Robust Nonlinear Controller Design for On-Grid/Off-Grid Wind Energy Battery-Storage System publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2017.2691707 – volume: 40 start-page: 34 year: 2020 ident: ref_49 article-title: Improved field oriented control for stand alone dual star induction generator used in wind energy conversion publication-title: Eng. Rev. doi: 10.30765/er.40.2.05 – ident: ref_4 doi: 10.3390/su132413542 – ident: ref_27 – ident: ref_52 – volume: 30 start-page: 588 year: 2014 ident: ref_14 article-title: Implementation of a New MRAS Speed Sensorless Vector Control of Induction Machine publication-title: IEEE Trans. Energy Convers. doi: 10.1109/TEC.2014.2366473 – ident: ref_24 doi: 10.3390/a13010017 – ident: ref_41 doi: 10.1145/2487575.2487629 – ident: ref_45 – volume: 7 start-page: 944 year: 2007 ident: ref_33 article-title: Automatic gait optimization with Gaussian process regression publication-title: Int. Jt. Conf. Artif. Intell. – ident: ref_7 doi: 10.1109/PES.2011.6039798 – volume: 68 start-page: 3672 year: 2021 ident: ref_11 article-title: A Novel Modulated Model Predictive Control Applied to Six-Phase Induction Motor Drives publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2020.2984425 – ident: ref_22 doi: 10.3390/en13071743 – volume: 9 start-page: 56486 year: 2021 ident: ref_59 article-title: Artificial Intelligence Based Intrusion Detection System for IEC 61850 Sampled Values under Symmetric and Asymmetric Faults publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3071141 – volume: 53 start-page: 469 year: 2020 ident: ref_8 article-title: A New Control Strategy of Dual Stator Induction Generator with Power Regulation publication-title: J. Eur. Des. Syst. Autom. – volume: 2 start-page: 23 year: 2021 ident: ref_23 article-title: Three-Phase Induction Motor Speed Estimation Using Recurrent Neural Network Structure publication-title: J. Electron. Volt. Appl. – volume: 34 start-page: 1263 year: 2021 ident: ref_28 article-title: Bayesian optimisation of part orientation in additive manufacturing publication-title: Int. J. Comput. Integr. Manuf. doi: 10.1080/0951192X.2021.1972466 – volume: 15 start-page: 20-00169 year: 2021 ident: ref_29 article-title: Surrogate modeling of waveform response using singular value decomposition and Bayesian optimization publication-title: J. Adv. Mech. Des. Syst. Manuf. doi: 10.1299/jamdsm.2021jamdsm0018 – volume: 93 start-page: 1 year: 2019 ident: ref_15 article-title: A review on MRAS-type speed estimators for reliable and efficient induction motor drives publication-title: ISA Trans. doi: 10.1016/j.isatra.2019.03.022 – volume: 33 start-page: 1005 year: 2014 ident: ref_38 article-title: Bayesian Multi-Scale Optimistic Optimization publication-title: J. Mach. Learn. Res. – volume: 53 start-page: 437 year: 2020 ident: ref_10 article-title: Optimum Design of Fractional Order PIα Speed Controller for Predictive Direct Torque Control of a Sensorless Five-Phase Permanent Magnet Synchronous Machine (PMSM) publication-title: J. Eur. Syst. Autom. – volume: 22 start-page: 751 year: 2012 ident: ref_43 article-title: Adaptive MCMC with Bayesian optimization publication-title: J. Mach. Learn. Res. – ident: ref_58 doi: 10.3390/sym13050826 – volume: 149 start-page: 134104 year: 2018 ident: ref_31 article-title: Machine learning enhanced global optimization by clustering local environments to enable bundled atomic energies publication-title: J. Chem. Phys. doi: 10.1063/1.5048290 – ident: ref_2 doi: 10.3390/en12122398 – ident: ref_3 doi: 10.3390/su14138069 – volume: 43 start-page: 1144 year: 2012 ident: ref_5 article-title: An autonomous hybrid energy system of wind/tidal/microturbine/battery storage publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2012.05.060 – volume: 26 start-page: 1 year: 2013 ident: ref_40 article-title: Multi-task Bayesian optimization publication-title: Adv. Neural Inf. Process. Syst. – ident: ref_44 – volume: 62 start-page: 6765 year: 2015 ident: ref_21 article-title: A Speed-Sensorless FS-PTC of Induction Motors Using Extended Kalman Filters publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2015.2442525 – volume: 11 start-page: 3011 year: 2010 ident: ref_50 article-title: Gaussian processes for machine learning (GPML) toolbox publication-title: J. Mach. Learn. Res. – volume: 14 start-page: 606 year: 2021 ident: ref_53 article-title: A comparison of Gaussian processes and neural networks for computer model emulation and calibration publication-title: Stat. Anal. Data Min. ASA Data Sci. J. doi: 10.1002/sam.11507 – volume: 17 start-page: 495 year: 2020 ident: ref_54 article-title: Hyperparameter optimization for recommender systems through Bayesian optimization publication-title: Comput. Manag. Sci. doi: 10.1007/s10287-020-00376-3 – ident: ref_37 doi: 10.1109/IROS.2012.6385653 – volume: 36 start-page: 12151 year: 2021 ident: ref_57 article-title: Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2021.3074964 – volume: 57 start-page: 5603 year: 2021 ident: ref_55 article-title: ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2021.3100321 – volume: 114 start-page: 104881 year: 2021 ident: ref_30 article-title: Bayesian optimization assisted meal bolus decision based on Gaussian processes learning and risk-sensitive control publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2021.104881 – volume: 38 start-page: 913 year: 2007 ident: ref_16 article-title: A sliding mode observer for sensorless induction motor speed regulation publication-title: Int. J. Syst. Sci. doi: 10.1080/00207720701620043 – volume: Volume 1 start-page: 257 year: 2018 ident: ref_36 article-title: Bayesian Optimization for Full Waveform Inversion publication-title: AIRO Springer Series doi: 10.1007/978-3-030-00473-6_28 – volume: 61 start-page: 2678 year: 2013 ident: ref_18 article-title: Sensorless High Order Sliding Mode Control of Induction Motors with Core Loss publication-title: IEEE Trans. Ind. Electron. – volume: Volume 3 start-page: 321 year: 2008 ident: ref_34 article-title: Active Policy Learning for Robot Planning and Exploration under Uncertainty publication-title: Robotics – volume: 6 start-page: 1 year: 2015 ident: ref_48 article-title: Modeling and Analysis of Dual-Stator Windings Self-Excited Induction Generator publication-title: J. Electr. Eng. – volume: 8 start-page: 293 year: 2021 ident: ref_20 article-title: Improved Control Strategy of DS-PMSG Based Standalone Tidal Turbine System Using Sensorless Field Oriented Control publication-title: Math. Model. Eng. Probl. doi: 10.18280/mmep.080218
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SubjectTerms	Algorithms Alternative energy sources Buildings and facilities Climate change Explicit knowledge Gaussian Process Regression Gaussian processes hyperparameter Bayesian optimization Machine learning Mathematical models Optimization predictive torque control predictive torque control; supervised learning algorithm; Gaussian Process Regression; sensorless speed control; hyperparameter Bayesian optimization sensorless speed control Sensors Simulation supervised learning algorithm T Technology Wind power
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Title	Hyperparameter Bayesian Optimization of Gaussian Process Regression Applied in Speed-Sensorless Predictive Torque Control of an Autonomous Wind Energy Conversion System
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