Speed Control of 3 Phase 1.5 kW Induction Motor using VSD LS SV015IG5A-2 with Proportional Integral Anti-Windup Method
DOI:
https://doi.org/10.59247/jfsc.v2i3.242Keywords:
Induction Motor, PI Anti-windup, Variable Speed Drive, ArduinoAbstract
The industrial world in Indonesia is experiencing increasing development. In general, most of the tools in the industrial world use electric motors as the main drive. Induction motors are alternate current (AC) electric motors that are most widely used to support performance in the industrial world. Factors that make induction motors widely used in the industrial world are due to high efficiency and performance, size that is not too large, easier maintenance, and does not cost much. The drawback of the induction motor itself is that controlling the speed of the induction motor is not easy and includes a non-linear motor. Therefore, the right technology is needed to regulate the speed of the induction motor to remain stable when given a change in load. The research conducted is the speed regulation of a 220 volt 1.5 kw 3 phase induction motor by adjusting the frequency using Variable Speed Drive LS SV015IG5A-2 with Arduino-based PI Anti-windup control. This control aims to get a constant 3-phase induction motor speed with a speed of 1200 Rpm when given a loading of 1-8 Nm with a maximum speed error value of ±6%, maximum rise time of 10s, maximum settling time of 10s. PI Anti-windup will reduce the integral calculation so that the PI value does not exceed the maximum limit and is less than the minimum limit of control saturation to maintain a better system response and responsiveness to changes in actual values triggered by varying load changes. Based on the test results of the induction motor speed regulation system using the PI Anti-windup method with a value of Kp = 4; Ki = 0.967; Ka = 0.884 which results in an average rise time of 2.12s, settling time of 4.882s, and steady state error of 0.606.
References
W. Liu, G. Nair, Y. Li, D. Nesic, B. Vucetic and H. V. Poor, "On the Latency, Rate, and Reliability Tradeoff in Wireless Networked Control Systems for IIoT," in IEEE Internet of Things Journal, vol. 8, no. 2, pp. 723-733, 2021, https://doi.org/10.1109/JIOT.2020.3007070.
M. M. Zirkohi, “Fast terminal sliding mode control design for position control of induction motors using adaptive quantum neural networks,” Applied Soft Computing, vol. 115, p. 108268, 2022, https://doi.org/10.1016/j.asoc.2021.108268.
M. J. Lencwe, S. D. Chowdhury, S. Mahlangu, M. Sibanyoni, and L. Ngoma, “An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room,” energies, vol. 14, no. 16, p. 5155, 2021, https://doi.org/10.3390/en14165155.
L. R. da Silva, R. C. Flesch, and J. E. Normey-Rico, “Analysis of anti-windup techniques in PID control of processes with measurement noise,” IFAC-PapersOnLine, vol. 51, no. 4, pp. 948-953, 2018, https://doi.org/10.1016/j.ifacol.2018.06.100.
Q. Ariyansyah and A. Ma’arif, “DC Motor Speed Control with Proportional Integral Derivative (PID) Control on the Prototype of a Mini-Submarine,” J. Fuzzy Syst. Control, vol. 1, no. 1, pp. 18–24, 2023, https://doi.org/10.59247/jfsc.v1i1.26.
S. C. Pratama, E. Susanto and A. S. Wibowo, "Design and implementation of water level control using gain scheduling PID back calculation integrator Anti Windup," 2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC), pp. 101-104, 2016, https://doi.org/10.1109/ICCEREC.2016.7814981.
N. Farah et al., "A Novel Self-Tuning Fuzzy Logic Controller Based Induction Motor Drive System: An Experimental Approach," in IEEE Access, vol. 7, pp. 68172-68184, 2019, https://doi.org/10.1109/ACCESS.2019.2916087.
F. Rossi, J. P. Sembiring, A. Jayadi, N. U. Putri and P. Nugroho, "Implementation of Fuzzy Logic in PLC for Three- Story Elevator Control System," 2021 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE), pp. 179-185, 2021, https://doi.org/10.1109/ICOMITEE53461.2021.9650221.
T. Nosheen et al., “A fractional order controller for sensorless speed control of an induction motor,” Energies, vol. 16, no. 4, p. 1901, 2023, https://doi.org/10.3390/en16041901.
H. Hartono, R. I. Sudjoko, and P. Iswahyudi, “Speed control of three phase induction motor using universal bridge and pid controller,” In Journal of Physics: Conference Series, vol. 1381, no. 1, p. 012053, 2019, https://doi.org/10.1088/1742-6596/1381/1/012053.
G. A. Olarinoye, C. Akinropo, G. J. Atuman and Z. M. Abdullahi, "Speed Control of a Three Phase Induction Motor using a PI Controller," 2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf), pp. 1-7, 2019, https://doi.org/10.1109/NigeriaComputConf45974.2019.8949624.
B. -F. Wu and C. -H. Lin, "Adaptive Neural Predictive Control for Permanent Magnet Synchronous Motor Systems with Long Delay Time," in IEEE Access, vol. 7, pp. 108061-108069, 2019, https://doi.org/10.1109/ACCESS.2019.2932746.
H. Maghfiroh, J. S. Saputro, F. Adriyanto, A. Sujono, and R. L. Lambang, “Performance Evaluation of Fuzzy-PID in Speed Control of Three Phase Induction Motor,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1096, no. 1, p. 012071, 2021, https://doi.org/10.1088/1757-899X/1096/1/012071.
I. Ferdiansyah, M. R. Rusli, B. Praharsena, H. Toar, Ridwan and E. Purwanto, "Speed Control of Three Phase Induction Motor Using Indirect Field Oriented Control Based on Real-Time Control System," 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE), pp. 438-442, 2018, https://doi.org/10.1109/ICITEED.2018.8534864.
M. A. Hannan, J. A. Ali, A. Mohamed, and A. Hussain, “Optimization techniques to enhance the performance of induction motor drives: A review,” Renewable and Sustainable Energy Reviews, vol. 81, pp. 1611-1626, 2018, https://doi.org/10.1016/j.rser.2017.05.240.
I. M. Mehedi, N. Saad, M. A. Magzoub, U. M. Al-Saggaf and A. H. Milyani, "Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers," in IEEE Access, vol. 10, pp. 18380-18394, 2022, https://doi.org/10.1109/ACCESS.2022.3150360.
A. N. Mohammed and G. A.-R. Ghoneim, “Fuzzy-PID Speed Controller Model-Based Indirect Field Oriented Control for Induction Motor,” in 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 1–6, 2021, https://doi.org/10.1109/ICCCEEE49695.2021.9429623.
Ahmed, A. H., Yahya, A. S., & Ali, A. J. (2024). Speed Control for Linear Induction Motor Based on Intelligent PI-Fuzzy Logic. Journal of Robotics and Control (JRC), 5(5), 1470-1478, 2024, https://doi.org/10.18196/jrc.v5i5.22203.
H. Maghfiroh, J. Slamet Saputro, F. Fahmizal, and M. Ahmad Baballe, “Adaptive Fuzzy-PI for Induction Motor Speed Control,” Journal of Fuzzy Systems and Control, vol. 1, no. 1, pp. 1–5, 2023, https://doi.org/10.59247/jfsc.v1i1.24.
D. Zakaria, H. Hindersah, A. Syaichu-Rohman and A. G. Abdullah, "PI and PI Antiwindup Speed Control of Switched Reluctance Motor (SRM)," 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA), Surabaya, Indonesia, 2021, pp. 46-51, 2021, https://doi.org/10.1109/ISITIA52817.2021.9502255.
F. Hamada, F. Husnayain, and F. Yusivar, “Speed Sensorless Vector Control of Parallel Connected Induction Motor with Anti-windup Integral-Proportional Speed Controller,” in 2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA), pp. 89–93, 2019, https://doi.org/10.1109/ICPEA.2019.8818527.
B. Aichi, M. Bourahla and K. Kendouci, "Real-Time Hybrid Control of Induction Motor Using Sliding Mode and PI Anti-Windup," 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), pp. 1-6, 2018, https://doi.org/10.1109/CISTEM.2018.8613320.
J. P. de Moura, J. V. d. F. Neto and P. H. M. Rêgo, "A Neuro-Fuzzy Model for Online Optimal Tuning of PID Controllers in Industrial System Applications to the Mining Sector," in IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, pp. 1864-1877, 2020, https://doi.org/10.1109/TFUZZ.2019.2923963.
F. R. Rahman, A. S. Rohman, I. Munawar and S. Sereyvatha, "Speed Control System of BLDC Motor using PI Anti – Windup Controller on an Autonomous Vehicle Prototype (AVP)," 2018 IEEE 8th International Conference on System Engineering and Technology (ICSET), pp. 51-56, 2018, https://doi.org/10.1109/ICSEngT.2018.8606398.
M. D. M. Shah, N. N. Mohammad and N. Hambali, "Nonlinear Modelling for Time-Varying Water Temperature PID Control," 2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA), Langkawi, Malaysia, 2021, pp. 177-182, 2021, https://doi.org/10.1109/CSPA52141.2021.9377296.
R. Aisuwarya and Y. Hidayati, “Implementation of Ziegler-Nichols PID Tuning Method on Stabilizing Temperature of Hot-water Dispenser,” in 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, pp. 1–5, 2019, https://doi.org/10.1109/QIR.2019.8898259.
C. Zhang, T. Peng, C. Li, W. Fu, X. Xia, and X. Xue, “Multiobjective optimization of a fractional‐order pid controller for pumped turbine governing system using an improved nsga‐Iii algorithm under multiworking conditions,” Complexity, vol. 2019, no. 1, p. 5826873, 2019, https://doi.org/10.1155/2019/5826873.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Adnan Rafi Al Tahtawi, Sofian Yahya, Passya Elbizzar, Sofyan Muhammad Ilman
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
