• Ahmad Antares Adam
  • Yusnaini Arifin
  • Baso Mukhlis
  • Agustinus Kali
  • Ratih Mar'atussolihah



control, torque, predictive, two-step, induction motor


The predictive torque control (PTC) technique of electric motor drive is based on the principle that the determined optimum voltage vector will be applied to the motor in the next cycle. If a three-phase inverter is used, this inverter can only realize eight different switching states. One of the eight switching states is used as the optimum inverter switching state for the next cycle. PTC with one-step prediction cannot obtain an experimental motor speed control, because in the real-time implementation, there is a single sampling delay between input and optimal actuation due to a large number of real time calculations. The delay time problem could be solved by modifying the optimization steps by using the two-step prediction of PTC model. The experimental results show that the motor can follow the reference speed and command torque in the step response and variable speed experiments. In variable speed experiment, good speed and torque dynamics can be achieved by selecting the proportional gain value that corresponds to the motor speed


Blaschke, F. (1972). The principle of field-orientation applied to the transvector closed-loop control system for rotating field machines. Siemens Review, vol. 34.

Takahashi, I., and Noguchi, T. (1986). A new quick response and high efficiency control strategy for an induction motor. IEEE Transaction on Industrial Applications, vol. 22, no. 5, pp. 820 – 827.

Rodriguez, J., Kennel, R. M., Espinoza, J. R., Trincado, M., Silva, C. A., and Rojas, C. A. (2012). High-performance control strategies for electrical drives: An experimental assessment. IEEE Transactions on Industrial Electronics, vol. 59, no. 2, pp. 812–820.

Djamila, C., and Yahia, M. (2020). Direct torque control trategies of induction machine: comparative studies, direct torque control strategies of electrical machines. Fatma Ben Salem, intechOpen.

Camacho, E., and Bordons, C. (2007). Model Predictive Control, Springer Verlag.

Rawlings, J., and Mayne, D. (2009). Model Predictive Control: Theory and Design, Nob Hill Publishing.

Morari, M., and Lee, J. H. (1998). Model predictive control, past, present and future,” Institut fur Automatik, ETH, Zurich.

Holtz, J., and Stadtfeldt, S. (1983). A predictive controller for the stator current vector of AC machines fed from a switched voltage source. In International Power Electronics Conference, IPEC, vol. 2, pp. 1665–1675.

Kennel, R., Rodriguez, J., Espinoza, J., and Trincado, M. (2010). High Performance Speed Control Methods for Electrical Machines: An Assessment. IEEE International Conference on Industrial Technology, pp. 1794-1799, 14-17.

Zhang, Y., Yang, H., and Xia, B. (2015). Model predictive torque control of induction motor drives with reduced torque ripple. IET Electric Power Applications, Vol. 9, Iss. 9, pp. 595–604.

Rodriguez, J., and Cortes, P. (2012). Predictive Control of Power Converters and Eletrical Drives. John Wiley & Sons, Ltd.

Yaramasu, V., and Wu, B. (2017). Model predictive control of wind energy conversion system. John Wiley & Sons, Inc., Hoboken, New Jersey.

Wang, F., Li, S., Mei, X., Xie, W., Rodriguez, J., and Kennel, R. (2015). Model-based predictive direct control strategies for electrical drives: An experimental evaluation of PTC and PCC methods. IEEE Transactions on Industrial Informatics.

Krause, P. C., Wasynczuk, O., O’Connell, T. C., Hasan, M. (2017). Tesla's Contribution to Electric Machine Analysis. IEEE Transaction on Energy Conversion, vol. 32, pp. 591 – 598.

Miranda, H., Cortés, P., Yuz, J. I., and Rodríguez, J. (2009). Predictive Torque Control of Induction Machines Based on State-Space Models. IEEE Transaction on Industrial Electronics, vol. 56, No. 6, pp. 1916 – 1924.

Holtz, J. (1994). The dynamic representation of AC drive systems by a complex signal flow graphs. International Symposium on Industrial Electronics, ISIE’94, vol. 1, Santiago de Chile, pp. 1 – 6.

Holtz, J. (1994). The induction motor, a dynamic system. IEEE IECON’94, vol. 1, Bologna, pp. 1 – 6, 1994.

Cortes, P., Kouro, S., La Rocca, B., Vargas, R., Rodriguez, J., Leon, J., Vazquez, S., and Franquelo, L. (2009). Guidelines for weighting factors design in model predictive control of power converters and drives,” in Proc. IEEE ICIT, pp. 1–7, Feb. 10–13.




How to Cite

A. A. Adam, Y. . Arifin, B. Mukhlis, A. Kali, and R. Mar’atussolihah, “KENDALI TORKA PREDIKTIF DENGAN PREDIKSI DUA LANGKAH MOTOR INDUKSI YANG DICATU OLEH SEBUAH INVERTER TIGA FASE”, Fs, vol. 14, no. 1, Jun. 2023.




Most read articles by the same author(s)

1 2 > >>