Hassan, A., Mohammed, J., Hashim, W. (2024). Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control. , 42(8), 1104-1121. doi: 10.30684/etj.2024.144140.1622
Aws F. Hassan; Jamal A.-K. Mohammed; Walaa M. Hashim. "Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control". , 42, 8, 2024, 1104-1121. doi: 10.30684/etj.2024.144140.1622
Hassan, A., Mohammed, J., Hashim, W. (2024). 'Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control', , 42(8), pp. 1104-1121. doi: 10.30684/etj.2024.144140.1622
Hassan, A., Mohammed, J., Hashim, W. Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control. , 2024; 42(8): 1104-1121. doi: 10.30684/etj.2024.144140.1622

Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control

Engineering and Technology Journal
Volume 42, Issue 8, August 2024, Pages 1104-1121    PDF (1.44 M)
Document Type: Research Paper
DOI: 10.30684/etj.2024.144140.1622
Authors
Aws F. Hassan* ; Jamal A.-K. Mohammed; Walaa M. Hashim
Electromechanical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
Due to its excellent energy efficiency and broad speed range, the variable-speed electro-hydraulic drive is an appealing driving principle in many contemporary industrial applications. A primary control of linear motion is via a variable-speed electric motor driving a hydraulic actuator via a constant displacement pump. One of the most commonly used controllers for the speed control of induction motors is the Proportional Integral (PI) type. However, the traditional PI controller has some disadvantages, such as the high starting overshoot, sensitivity to controller gains, and sluggish response due to sudden disturbance. An intelligent controller based on PI Fuzzy logic set theory is introduced to the electro-hydraulic system to overcome these defects. This paper presents a study on the speed control of an indirectly controlled vector-controlled induction motor driving an electro-hydraulic actuator. Various speed control techniques like voltage-frequency control, sinusoidal pulse width modulation PI control, indirect field control, and fuzzy logic PI control were applied in the electro-hydraulic system and simulated by Matlab/Simulink environment for performance analysis and comparison. The results prove that the indirect field-oriented control technique with PI fuzzy logic control provides better speed control of the induction motor, especially with high dynamic disturbances, by reducing the steady state error to (0.024), overshooting to (0.2%) and Settling time to (0.3s). This, in turn, will improve the performance of the proposed electro-hydraulic system.

Highlights
  • The smart PIFLC & IVC controller demonstrated superior performance
  • Smart PIFLC & IVC outperformed PI controllers and V/f in cost, stability, and response
  • PIFLC & IVC achieved a low starting current of 15A
  • Energy savings of 15% were obtained, improving efficiency with an 80V reduction
  • The steady-state error in PIFLC & IVC was minimal at 0.024
Keywords
Electro-hydraulic actuator; Induction motor; Constant displacement pump; PI fuzzy logic; Indirect vector control
References
  1. K. Hati, N.P. Mandal, D. Sanyal, Energy-saving design of variable-displacement bi-directional pump controlled electrohydraulic system, Proc. Inst. Mech. Eng. Part I, J. Sys. Control Eng., 235 (2020). https://doi.org/10.1177/0959651820973898
  2. Cho, H-H. Lee., A fuzzy-logic antiswing controller for three-dimensional overhead cranes, ISA Trans., 41 (2002) 235–43. https://doi.org/10.1016/S0019-0578(07)60083-4
  3. Davliakos, E. Papadopoulos, Model-based control of a 6-dof electrohydraulic Stewart–Gough platform, Mech. Mach. Theory, 43 (2008) 1385–400. https://doi.org/10.1016/j.mechmachtheory.2007.12.002
  4. K. Barai, K. Nonami, Optimal two-degree-of-freedom fuzzy control for locomotion control of a hydraulically actuated hexapod robot, Inf. Sci., 177 (2007) 1892–915. https://doi.org/10.1016/j.ins.2006.10.003
  5. Zhao, K. Gao, X. Liu, B. Wen, Control of electrohydraulic servo system for a material test system using fuzzy neural network, In: Proceedings of the world congress on intelligent control and automation (WCICA). Proceedings of the 7th world congress on intelligent control and automation, WCICA’08, 9351–9355, 2007. https://doi.org/10.1109/WCICA.2008.4593911
  6. M. Mohammed, J.A.-K. Mohammed, H.S. Mohammed, Manufacturing of Electro-hydraulic Elevator System Controlled by PLC, Anbar J. Eng. Sc., 11 (2020) 162-169. https://www.iasj.net/iasj/article/274522
  7. H. A. Al-Hady, F. M. Mohammed, J.A.-K. Mohammed, Modeling and Simulation of Telescopic Hydraulic for Elevating Purposes, Eng. Tech. J., 40 (2022) 226-232. http://doi.org/10.30684/etj.v40i1.2253.
  8. H. A. Al-Hady, F. M. Mohammed, J.A.-K. Mohammed, A review on the employment of the hydraulic cylinder for lifting purposes, Indonesian J. Elec. Eng. Comp. Sc., 28 (2022) 1475-1485. http://doi.org/10.11591/ijeecs.v28.i3.pp1475-1485
  9. H. A. Al-Hady, F. M. Mohammed, J.A.-K. Mohammed, Modeling and simulation of electro-hydraulic telescopic elevator system controlled by programmable logic controller, Indonesian J. Elec. Eng. Comp. Sc., 27 (2022) 71-78. http://doi.org/10.11591/ijeecs.v27.i1.pp71-78
  10. Lovrec and S. Ulaga, Pressure control in hydraulic systems with variable or constant pumps, Exp. Tech., 31(2007) 33-41. http://doi.org/10.1111/j.1747-1567.2007.00146.x
  11. E. Obućina, V. Savić, D. Knežević, A. Ivanišević, B. Balović, Technical-economic view of the replacement of pumps with variable volume pumps a constant volume of the frequency converter, 12th International conference on accomplishments in Electrical and Mechanical Engineering and Information Technology (DEMI 2015).
  12. E. Obućina, S. Stankovski, V. Savić, G. Ostojic, S. Cajetinac, Energy savings using frequency regulation in the hydraulic system with a pump of constant displacement, 13th Int. Conf. Accomplishments Mech. Ind. Eng., 2017.
  13. Xu, B. Jin, G. Chen, J. Ni, Speed-Control of Energy Regulation Based Variable-Speed Electrohydraulic Drive, J. Mech. Eng., 59 (2013) 433-442. https://doi.org/10.5545/sv-jme.2012.911
  14. Dahmardeh, M. Ghanbari, S.M. Rakhtala, A Novel Combined DTC Method and SFOC System for Three-phase Induction Machine Drives with PWM Switching Method, J. Oper. Autom.  Power Eng., 11 (2023) 76-82. https://doi.org/10.22098/joape.2023.9717.1679
  15. Yadav, P. Sahu, V.P. Kurmi, Designing and comparison of pi, fuzzy and artificial neural network based speed controller for induction motor drive, Int. Res. J. Modernization Eng. Technol. Sci., 5 (2023) 3212-3218.. https://www.doi.org/10.56726/IRJMETS42237
  16. Ojha, S. Sharma, R. Tirole, performance analysis and speed control using indirect vector controlled for induction motor drive, Int. J. Tech. Res. Sci., VIII (2023) 18-23. https://doi.org/10.30780/IJTRS.V08.I06.004
  17. P Ja, A.E. Daniela, An Intelligent Speed Controller Design for Indirect Vector Controlled Induction Motor Drive System, Procedia Technol., 25 (2016) 801-807. https://doi.org/10.1016/j.protcy.2016.08.177
  18. Ullah, I. Ahmad, E. Muhammad, Design and Analysis of Fuzzy Supervisory Control of an Induction Motor, International Conference on Applied and Engineering Mathematics, 2019. https://doi.org/10.1109/ICAEM.2019.8853693
  19. Kamalapur, M.S. Aspalli, Direct torque control and dynamic performance of induction motor using fractional order fuzzy logic controller, Int. J. Electr. Comput. Eng., 13 (2023). https://doi.org/10.11591/ijece.v13i4.pp3805-3816
  20. A. Okeke and I.I. Okonkwo, Fuzzy Logic Aided PID Controller for Induction Motor Speed Control, Int. J. Adv. Networking Appl.,14 (2023) 5541-5548.
  21. Kutlu, H. Güner, Comparison of digital PD and fuzzy control theory on a hydraulic servo system. In: IFAC-symposium on design methods of control systems, IFAC Proceedings Volumes, 24 (1991) 111–114. https://doi.org/10.1016/S1474-6670(17)54154-3
  22. Schidl, B. Manhartsgruber, On the dynamic behavior of servo-hydraulic applied to hydraulic drivers, Nonlinear Dyn., 17 (1998) 247–68. https://doi.org/10.1023/A:1008348714791
  23. Detieck , A fuzzy self-learning position control of hydraulic drive, Cybernet Syst. Int. J., 31 (2000) 821–36. https://doi.org/10.1080/019697200750038959
  24. Jones, A. Dopson, AP. Roskilly, Design of a reduced-rule self organizing fuzzy logic controller for water hydraulic applications, Proc. Inst. Mech. Eng., 214 (2000) 371–81. https://doi.org/10.1243/0959651001540726
  25. Bing, Y. Jian, Y. Huayong, Comparison of energy-saving on the speed control of the VVVF hydraulic elevator with and without the pressure accumulator, Mechatron., 15 (2005) 1159–1174. https://doi.org/10.1016/j.mechatronics.2005.06.009
  26. Cochoy, U.B. Carl, F. Thielecke, Integration and control of electromechanical and electrohydraulic actuators in a hybrid primary flight control architecture, Int. Conf. on Recent Advances in Aerospace Actuation Systems and Components, 1–8, Toulouse, France, 2007.
  27. Rongjie, J. Zongxia, W. Shaoping, C. Lisha, Design and simulation of electro-hydrostatic actuator with a built-in power regulator, Chin. J. Aeronaut., 22 ( 2009) 700–706. https://doi.org/10.1016/S1000-9361(08)60161-2
  28. Xu, R. Ding, J. Zhang, M. Cheng, T. Sun, Pump/valves coordinate control of the independent metering system for mobile machinery, Autom. Constr., 57 (2015) 98–111. https://doi.org/10.1016/j.autcon.2015.04.012
  29. Bingbing, S. Guanglin, Y. Licheng, Modeling and analysis of the electro-hydraulic proportional valve controlled motor system supplied by variable pressure accumulator, 2015 International Conference on Fluid Power and Mechatronics (FPM). https://doi.org/10.1109/FPM.2015.7337295
  30. Shi, J. Wei, J. Fang, M. Li, Nonlinear cascade control of high response proportional solenoid valve based on an extended disturbance observer, Proc. Inst. Mech. Eng. Part I, J. Syst. Contr. Eng., 233 (2018) 921–934. https://doi.org/10.1177/0959651818807518
  31. Li, W. Shi, J. Wei, J. Fang, K. Guo, Q. Zhang, Parallel Velocity Control of an Electro-Hydraulic Actuator with Dual Disturbance Observers, IEEE Access , 7 (2019) 56631–56641. https://doi.org/10.1109/ACCESS.2019.2911658
  32. Wrat, P. Ranjan, M. Bhola, SK. Mishra, J. Das, Position control and performance analysis of hydraulic system using two pump controlling strategies, Proc. Inst. Mech. Eng., I, J. Syst. Contr. Eng., 233 (2018). https://doi.org/10.1177/0959651818813233
  33. Jin, Q. Wang, Energy-saving control for electro-hydraulic systems under time-varying negative loads, Proc. Inst. Mech. Eng. I, J. Syst. Contr. Eng., 232 (2018) 608–21. http://dx.doi.org/10.1177/0959651818758811
  34. A. Hoshi, H.A. Al-Sali, W.M. Hashim, Investigation Vibration Damping in the Hydraulic Systems by Using an Accumulator, Eng. Tech. J., 36 A (2018) 1276-1282. https://doi.org/10.30684/ETJ.36.12A.9
  35. M. Hashim, H.A. Al-Salihi, A.F. Hassan, Investigation the variation of bulk modulus of elasticity on the performance of conventional electrohydraulic system, J. Univ. Babylon Eng. Sci., 27 (2019) 170–181 .
  36. A.-K. Mohammed, W.M. Hashim, B.S. Beram, Speed Control of Hydraulic Elevator by Using Electro-Hydraulic Servo Mechanism, J. Univ. Babylon Eng. Sci., 27 (2019) 275-291.
  37. A.-K. Mohammed, W.M. Hashim, B.S. Beram, Performance Improvement of a Conventional Hydraulic Elevator by Using Electro-Hydraulic Servo Mechanism, Eng. Tech. J., 38 (2020) 748-760. https://doi.org/10.30684/etj.v38i5A.367
  38. Li and Q. Zhang, Adaptive Robust Fuzzy Impedance Control of an Electro-Hydraulic Actuator, Appl. Sci., 12 (2022) 9575. https://doi.org/10.3390/app12199575
  39. V. Ustun, M. Demirtas, Optimal Tuning of PI Coefficients by Using Fuzzy-Genetic for V/f Controlled Induction Motor, Expert Syst. Appl.,  34 (2008) 2714-2720. https://doi.org/10.1016/j.eswa.2007.05.029
  40. Suetake, I.N. da Silva, A. Goedtel, Embedded DSP-Based Compact Fuzzy System and Its Application for Induction-Motor V/f Speed Control, IEEE Trans. Ind. Electron., 58 (2011) 750–760. https://doi.org/10.1109/TIE.2010.2047822
  41. B. Duranay, H. Guldemir, S. Tuncer, Implementation of a V/f Controlled Variable Speed Induction Motor Drive, EMITTER Int. J. Eng. Technol., 8 (2020) 35-48. https://doi.org/10.24003/emitter.v8i1.490
  42. Hansen, A.H., Fluid Power Systems, Springer Nature Switzerland AG 2023.
  43. M. Hashim, H.A. Al-Salihi, F.N. Al Zubaidi, Effects of temperature on the properties of HL32 oil in the conventional hydraulic actuators, Heliyon, 8 (2022). https://doi.org/10.1016/j.heliyon.2022.e11831
  44. J.A.-Cedeno, Numerical Study of Constant Pressure Systems with Variable Speed Electric Pumps, Energies, 15 (2022) 1918. https://doi.org/10.3390/en15051918
  45. A.M. Eltoum, A. Hussein, M.A. Abido, Hybrid Fuzzy Fractional‑Order PID‑Based Speed Control for Brushless DC Motor, Arabian J. Sci. Eng., 46 (2021) 9423–9435. https://doi.org/10.1007/s13369-020-05262-3
  46. B. Hunasikatti, R.L Naik, B.V Hiremath, Implementation of FPGA Based Closed Loop V/f Speed Control of Induction Motor Employed for Industrial Applications, 2nd Int. Conf. on Adv. in Elect., Comp. and Comm., 2018. https://doi.org/10.1109/ICAECC.2018.8479518
  47. Khaliq, S.A.R. Kashif, F. Ahmad, M. Anwar, Q. Shaheen, R. Akhtar, M.A. Shah, A. Abdelmaboud, Indirect Vector Control of Linear Induction Motors Using Space Vector Pulse Modulation, Comput. Mater. Continua, 74 (2023) 6263-6287. https://doi.org/10.32604/cmc.2023.033027
  48. H. Salahuddin, K. Imdad, M. U. Chaudhry, D. Nazarenko, V. Bolshev and M. Yasir, Induction Machine-Based EV Vector Control Model Using Mamdani Fuzzy Logic Controller, Appl. Sci., 12 (2022) 4647. https://doi.org/10.3390/app12094647 
Statistics
Article View: 432
PDF Download: 372


Journal Management System. Powered by iJournalPro.com