The Fuzzy Logic-based Stator-flux-oriented Direct Torque Control For Three-phase Asynchronous Motor

This article proposes a Takagi-Sugeno fuzzy logic-based (TS-FLB) controller applied to the stator-fluxoriented direct torque control (SFO-DTC) scheme. The conventional SFO-DTC scheme has two PI regulators to generate the reference stator voltage vector necessary to maintain the load. The objective is to reduce the quantity of these controllers, hence we propose a single TS-FLB controller to substitute both PI regulators. The rule base for the proposed TS-FLB controller is defined in function of the stator flux error and the electromagnetic torque error, and it utilizes trapezoidal and triangular membership functions (MFs) for the fuzzification of its inputs. Constant switching frequency and low torque ripple are obtained using the space vector modulation technique. The simulation and experimental results show that the TS-FLB controller obtains a decoupling torque and stator flux control and low torque ripple. These results were obtained for various operating conditions such as step change in the motor load, speed reversion with no load and the application of an arbitrary speed profile. These results show that the TS-FLB controller achieves a good performance as expected, validating the proposed scheme. © Brazilian Society for Automatics-SBA 2013.2514654Abu-Rub, H., Guzinski, J., Krzeminski, Z., Toliyat, H., Advanced control of induction motor based on load angle estimation (2004) IEEE Transactions on Industrial Electronics, 51 (1), pp. 5-14Azcue, P., Ruppert, E.J., Three-phase induction motor dtcsvm scheme with self-tuning pi-type fuzzy controller (2010) 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2, pp. 757-762Bertoluzzo, M., Buja, G., Menis, R., A direct torque control scheme for induction motor drives using the current model flux estimation (2007) IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2007 (SDEMPED 2007), pp. 185-190Buja, G., Kazmierkowski, M., Direct torque control of PWM inverter-fed AC motors-A survey (2004) IEEE Transactions on Industrial Electronics, 51 (4), pp. 744-757Cao, S., Liu, G., Cai, B., Direct torque control of induction motors based on double-fuzzy space vector modulation technology (2009) International Conference on Information Engineering and Computer Science, 2009 (ICIECS 2009), pp. 1-4Chen, L., Fang, K.-L., Hu, Z.-F., A scheme of fuzzy direct torque control for induction machine (2005) Proceedings of 2005 International Conference on Machine Learning and Cybernetics, 2005, 2, pp. 803-807Depenbrock, M., Direct self-control (DSC) of inverter-fed induction machine (1988) IEEE Transactions on Power Electronics, 3 (4), pp. 420-429Ding, X., Liu, Q., Ma, X., He, X., Hu, Q., The fuzzy direct torque control of induction motor based on space vector modulation (2007) Third International Conference on Natural Computation, 2007 (ICNC 2007), 4, pp. 260-264Driankov, D., Hellendoorn, H., Reinfrank, M., (1996) An Introduction to Fuzzy Control, , 2nd ed. New York: SpringerDubois, D., Prade, H., Yager, R.E., (1993) Fuzzy Sets for Intelligent Systems, , 1st ed. San Francisco: Morgan Kaufmann PublishersGupta, M., Qi, J., Design of fuzzy logic controllers based on generalized t-operators (1991) Fuzzy Sets and Systems, 40 (3), pp. 473-489Gupta, M., Qi, J., Theory of t-norms and fuzzy inference methods (1991) Fuzzy Sets and Systems, 40 (3), pp. 431-450Habetler, T., Profumo, F., Pastorelli, M., Tolbert, L., Direct torque control of induction machines using space vector modulation (1992) IEEE Transactions on Industry Applications, 28 (5), pp. 1045-1053He, S.-Z., Tan, S., Xu, F.-L., Wang, P.-Z., Fuzzy self-tuning of pid controllers (1993) Fuzzy Sets and Systems, 56 (1), pp. 37-46Hu, J., Wu, B., New integration algorithms for estimating motor flux over a wide speed range (1998) IEEE Transactions on Power Electronics, 13 (5), pp. 969-977Jiang, Z., Hu, S., Cao, W., A new fuzzy logic torque control scheme based on vector control and direct torque control for induction machine (2008) 3rd International Conference on Innovative Computing Information and Control, 2008 (ICICIC '08), p. 500Kang, J.-K., Sul, S.-K., New direct torque control of induction motor for minimum torque ripple and constant switching frequency (1999) IEEE Transactions on Industry Applications, 35 (5), pp. 1076-1082Koutsogiannis, Z., Adamidis, G., Fyntanakis, A., Direct torque control using space vector modulation and dynamic performance of the drive, via a fuzzy logic controller for speed regulation (2007) 2007 European Conference on Power Electronics and Applications, pp. 1-10Lin, G., Xu, Z., Direct torque control of induction motor based on fuzzy logic (2010) 2010 2nd International Conference on Computer Engineering and Technology (ICCET), 4, pp. V4651-V4654Maeda, M., Murakami, S., A self-tuning fuzzy controller (1992) Fuzzy Sets and Systems, 51 (1), pp. 29-40Mamdani, E.H., Application of fuzzy logic algorithms for control of simple dynamic plant (1974) IEEE Proceedings of the Institution of Electrical Engineers, 121 (12), pp. 1585-1588Metidji, B., Taib, N., Baghli, L., Rekioua, T., Bacha, S., Lowcost direct torque control algorithm for induction motor without AC phase current sensors (2012) IEEE Transactions on Power Electronics, 27 (9), pp. 4132-4139Pan, Y., Zhang, Y., Research on direct torque control of induction motor based on dual-fuzzy space vector modulation technology (2009) Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 (FSKD '09), 6, pp. 383-388Park, Y.-M., Moon, U.-C., Lee, K., A self-organizing fuzzy logic controller for dynamic systems using a fuzzy auto-regressive moving average (FARMA) model (1995) IEEE Transactions on Fuzzy Systems, 3 (1), pp. 75-82Sandri, S., Correa, C., Logica nebulosa (1999) V Escola de Redes Neurais, pp. c073-c090Shyu, K.-K., Lin, J.-K., Pham, V.-T., Yang, M.-J., Wang, T.-W., Global minimum torque ripple design for direct torque control of induction motor drives (2010) IEEE Transactions on Industrial Electronics, 57 (9), pp. 3148-3156Takagi, T., Sugeno, M., Fuzzy identification of systems and its applicationsto modeling and control (1985) IEEE Transactions on Systems, Man, and Cybernetics, 14 (1), pp. 116-132Takahashi, I., Noguchi, T., A new quick-response and highefficiency control strategy of an induction motor (1986) IEEE Transactions on Industry Applications, IA-22, (5), pp. 820-827Vas, P., (1998) Sensorless Vector and Direct Torque Control, , Oxford: Oxford University PressViola, J., Restrepo, J., Guzman, V., Gimenez, M., Direct torque control of induction motors using a fuzzy inference system for reduced ripple torque and current limitation (2006) 12th International Power Electronics and Motion Control Conference, 2006 (EPE-PEMC 2006), pp. 1161-1166Xue, Y., Xu, X., Habetler, T.G., Divan, D.M., A low cost stator flux oriented voltage source variable speed drive (1990) Conference Record of the 1990 IEEE Industrial Applications Society Annual Meeting, 1, pp. 410-415Zaid, S., Mahgoub, O., El-Metwally, K., Implementation of a new fast direct torque control algorithm for induction motor drives (2010) IET Electric Power Applications, 4 (5), pp. 305-313Zhang, Z., Tang, R., Bai, B., Xie, D., Novel direct torque control based on space vector modulation with adaptive stator flux observer for induction motors (2010) IEEE Transactions on Magnetics, 46 (8), pp. 3133-313