Abstract
Direct Torque Control (DTC) for Induction Motor Drives (IMD) has evolved as an industry standard due to numerous advantages like insensitive to variation, simplicity in implementation and quicker dynamic response compared to other vector control techniques. Six Switch Voltage Source Inverter (SSTPI), flux and torque hysteresis controllers characterize the conventional DTC. In this paper an attempt is made to replace the conventional SSTPI with a four switch voltage source inverter (FSTPI) for attaining same performance. Voltage vectors of FSTPI are balanced by proper vector selection using Space Vector Modulation thus imitating SSTPI operation. Selection of most optimum voltage vector ensures superior dynamic response during transient operation. This paper also presents superior speed control using a Fuzzy Logic Controller and Model Reference Adaptive Controller for Direct Torque Control (DTC) of Induction Motor Drive fed with FSTPI. The dynamic performance of FSTP inverter-fed IMD is investigated for different load conditions using proposed schemes along with traditional DTC scheme. Comparison shows that proposed DTC schemes with intelligent and adaptive control algorithm show excellent performance in terms of low torque ripples and speed regulation compared to conventional DTC technique.
Similar content being viewed by others
References
El-Shimy ME, Zaid SA (2016) Fuzzy PID controller for fast direct torque control of induction motor drives. J Electr Syst 12(4):687–700
Farasat M, Trzynadlowski AM, Fadali MS (2014) Efficiency improved sensorless control scheme for electric vehicle induction motors. IET Electr Syst Transp 4(4):122–131
Fu S, Zhou H, Xiao Y (2023) Research on information system assets risk assessment and defense decision-making. J Ambient Intell Humaniz Comput 14:1229–1241
Ghosh S, Swarnkar P, Deshpande DM (2019a) Control strategies governing induction motors as industrial drives: a technical review. Int J Emerg Technol 10(1):97–105
Ghosh S, Swarnkar P, Deshpande DM (2019b) Comparative analysis based on simulation and design aspects of three phase four switch inverter for industrial applications. Int J Math Eng Manag Sci 4(6):1325–1340
Ghosh S, Goud H, Swarnkar P, Deshpande DM (2021) Design of an optimized adaptive PID controller for induction motor drive. Mechatron Syst Control 49(3)
Goud H, Swarnkar P (2019) Signal synthesis model reference adaptive controller with artificial intelligent technique for a control of continuous stirred tank reactor. Int J Chem Reactor Eng 17(2)
Goud H, Swarnkar P (2019) Signal synthesis model reference adaptive controller with genetic algorithm for a control of chemical tank reactor. Int J Chem Reactor Eng 17(7)
Hannan MA, Ali JA, Ker PJ, Mohamed A, Lipu MSH, Hussain A (2018b) Switching techniques and intelligent controllers for induction motor drive: issues and recommendations. IEEE Access 6:47489–47510
Hannan MA, Ali JA, Mohamed A, Hussain A (2018a) Optimization techniques to enhance the performance of induction motor drives: a review. Renew Sustain Energy Rev 81(2):1611–1626
Kumar MS, Tomar A, Jana PK (2021) Multi-objective workflow scheduling scheme: a multi-criteria decision making approach. J Ambient Intell Humaniz Comput 12:10789–10808
Messo T, Jokipii J, Puukko J, Suntio T (2014) Determining the value of DC-link capacitance to ensure stable operation of a three-phase photovoltaic inverter. IEEE Trans Power Electron 29(2):665–673
Nguyen TD, Lee HH, Nguyen HM (2010) Adaptive carrier-based PWM for a four-switch three-phase inverter under DC-link voltage ripple conditions. J Electr Eng Technol 5(2):290–298
Paniagua DC, Azola C, Torrelba RR (2023) Using affective criteria in the decision-making of cognitive agents on flexible passenger transportation domain. J Ambient Intell Humaniz Comput 14:10715–10729
Park CW, Kwon WH (2004) Simple and robust speed sensorless vector control of induction motor using stator current based MRAC. Electric Power Syst Res 71:257–266
Sudheer H, Kodad SF, Sarvesh B (2018) Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J Electr Syst Inf Technol 5(3):813–828
Swarnkar P, Jain SK, Nema RK (2010) Effect of adaptation gain on system performance for model reference adaptive control scheme using MIT rule. World Acad Sci Eng Technol 70:621–626
Swarnkar P, Jain SK, Nema RK (2014) Adaptive control schemes for improving the control system dynamics: a review. IETE Tech Rev 31(1):17–33
Uddin MN, Hafeez M (2012) FLC-based DTC scheme to improve the dynamic performance of an IM drive. IEEE Trans Ind Appl 48(2):823–831
Venkataramana NN, Panda A, Singh SP (2016) A three-level fuzzy-2 DTC of induction motor drive using SVPWM. IEEE Trans Ind Electron 63(3):1467–1479
Wang F, Zhang Z, Mei X, Rodriguez J, Kennel R (2018) Advanced control strategies of induction machine: field oriented control, direct torque control and model predictive control. Energies 11(1):1–13
Zaky MS, Metwaly MK (2017) A Performance investigation of a four-switch three-phase inverter-fed IM drives at low speeds using fuzzy logic and PI controllers. IEEE Trans Power Electron 32(5):3741–3753
Zhao L, Liu W, Wu Y (2020) Bid evaluation decision for major project based on analytic hierarchy process and data envelopment analysis cross-efficiency model. J Ambient Intell Humaniz Comput 11:3639–3647
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Ghosh, S., Goud, H., Salwan, C. et al. Fuzzy and MRAC based direct torque control for FSTPI fed induction motor. Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-024-02328-5
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13198-024-02328-5