Indirect field-oriented control of twin-screw electromechanical hydrolyzer
DOI:
https://doi.org/10.20998/2074-272X.2022.1.01Keywords:
Maxwell's equations, field-oriented control, polyfunctional electromechanical converters, hydrolyzer, dissipative energyAbstract
Goal. Development of a mathematical model of indirect field-oriented control of a twin-screw electromechanical hydrolyzer. Methodology. The paper presents a mathematical model of Indirect field-oriented control of twin-screw electromechanical hydrolyzer. The mathematical model was developed in the MATLAB / Simulink software environment. The determination of the main parameters of a twin-screw electromechanical hydrolyzer was carried out by developing a finite element model in the Comsol Multiphysics software environment. Results. Based on the results of a mathematical study, graphical dependences of the distribution of magnetic induction in the air gap of a ferromagnetic rotor, a spatial representation of the distribution of magnetic induction on a 3D model of a ferromagnetic rotor of a twin-screw electromechanical hydrolyzer were obtained. The results of finite element modeling were confirmed by a practical study of a mock-up of a ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. By implementing the MATLAB / Simulink model, graphical dependences of the parameters of the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer are obtained under the condition of a stepwise change in the torque and a cyclic change in the angular velocity. Originality. The paper presents an implementation of the method of indirect field-oriented control for controlling the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. The work takes into account the complex design of the ferromagnetic rotor of a twin-screw electromechanical hydrolyzer. Practical significance. The practical implementation of the results of mathematical modeling makes it possible to achieve effective control of a complex electromechanical system, allows further research to maintain the necessary parameters of the technological process and to develop more complex intelligent control systems in the future.
References
Zablodskiy N., Kovalchuk S., Chuenko R., Romanenko O., Gritsyuk V. The nanofluids application in a twin-screw electromechanical hydrolyser. 2021 IEEE 21st International Conference on Nanotechnology (NANO), 2021, pp. 108-111. doi: https://doi.org/10.1109/NANO51122.2021.9514326.
Zablodskiy M., Kovalchuk S. The main aspects of the technology of processing keratin raw materials under the influence of a magnetic field. 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek), 2020, pp. 278-282. doi: https://doi.org/10.1109/KhPIWeek51551.2020.9250153.
Yang S., Ding D., Li X., Xie Z., Zhang X., Chang L. A Novel Online Parameter Estimation Method for Indirect Field Oriented Induction Motor Drives. IEEE Transactions on Energy Conversion, 2017, vol. 32, no. 4, pp. 1562-1573. doi: https://doi.org/10.1109/TEC.2017.2699681.
Yan N., Cao X., Deng Z. Direct Torque Control for Switched Reluctance Motor to Obtain High Torque–Ampere Ratio. IEEE Transactions on Industrial Electronics, 2019, vol. 66, no. 7, pp. 5144-5152. doi: https://doi.org/10.1109/TIE.2018.2870355.
Kumar R.H., Iqbal A., Lenin N.C. Review of recent advancements of direct torque control in induction motor drives – a decade of progress. IET Power Electronics, 2018, vol. 11, no. 1, pp. 1-15. doi: https://doi.org/10.1049/iet-pel.2017.0252.
Wang F., Zhang Z., Mei X., Rodríguez J., Kennel R. Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control. Energies, 2018, vol. 11, no. 1. doi: https://doi.org/10.3390/en11010120.
Amezquita-Brooks L., Liceaga-Castro J., Liceaga-Castro E. Speed and Position Controllers Using Indirect Field-Oriented Control: A Classical Control Approach. IEEE Transactions on Industrial Electronics, 2014, vol. 61, no. 4, pp. 1928-1943. doi: https://doi.org/10.1109/TIE.2013.2262750.
De Oliveira V M.R., Camargo R.S., Encarnação L.F. Field Oriented Predictive Current Control on NPC Driving an Induction Motor. 2020 IEEE International Conference on Industrial Technology (ICIT), 2020, pp. 169-174. doi: https://doi.org/10.1109/ICIT45562.2020.9067236.
Benbouhenni H. Seven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller. Iranian Journal of Electrical and Electronic Engineering, 2018, vol. 14, no. 1, pp. 85-94. doi: http://dx.doi.org/10.22068/IJEEE.14.1.85.
Nikzad M.R., Asaei B., Ahmadi S.O. Discrete Duty-Cycle-Control Method for Direct Torque Control of Induction Motor Drives With Model Predictive Solution. IEEE Transactions on Power Electronics, 2018, vol. 33, no. 3, pp. 2317-2329. doi: https://doi.org/10.1109/TPEL.2017.2690304.
Mousavi M.S., Davari S.A., Nekoukar V., Garcia C., Rodriguez J. A Robust Torque and Flux Prediction Model by a Modified Disturbance Rejection Method for Finite-Set Model-Predictive Control of Induction Motor. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 8, pp. 9322-9333. doi: https://doi.org/10.1109/TPEL.2021.3054242.
Ekaputri C., Syaichu-Rohman A. Model predictive control (MPC) design and implementation using algorithm-3 on board SPARTAN 6 FPGA SP605 evaluation kit. 2013 3rd International Conference on Instrumentation Control and Automation (ICA), 2013, pp. 115-120. doi: https://doi.org/10.1109/ICA.2013.6734056.
Wang L. Model Predictive Control System Design and Implementation Using MATLAB®. Springer, London, 2009. doi: https://doi.org/10.1007/978-1-84882-331-0.
Zablodsky N., Chuenko R., Gritsyuk V., Kovalchuk S., Romanenko O. The Numerical Analysis of Electromechanical Characteristics of Twin-Screw Electromechanical Hydrolyzer. 2021 11th International Conference on Advanced Computer Information Technologies (ACIT), 2021, pp. 130-135. doi: https://doi.org/10.1109/ACIT52158.2021.9548392.
Zablodskiy M., Pliuhin V., Chuenko R. Simulation of induction machines with common solid rotor. Technical Electrodynamics, 2018, no. 6, pp. 42-45. doi: https://doi.org/10.15407/techned2018.06.042.
Hiware R.S., Chaudhari J.G. Indirect Field Oriented Control for Induction Motor. 2011 Fourth International Conference on Emerging Trends in Engineering & Technology, 2011, pp. 191-194. doi: https://doi.org/10.1109/ICETET.2011.56.
Abu-Rub H., Iqbal A., Guziński J. High Performance Control of AC Drives with MATLAB/Simulink Models. John Wiley & Sons, 2012. doi: https://doi.org/10.1002/9781119969242.
Malyar V.S., Hamola O.Ye., Maday V.S., Vasylchyshyn I.I. Mathematical modelling of starting modes of induction motors with squirrel-cage rotor. Electrical Engineering & Electromechanics, 2021, no. 2, pp. 9-15. doi: https://doi.org/10.20998/2074-272X.2021.2.02.
Shurub Yu.V. Statistical optimization of frequency regulated induction electric drives with scalar control. Electrical engineering & electromechanics, 2017, no. 1, pp. 26-30. doi: https://doi.org/10.20998/2074-272X.2017.1.05.
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