Improved Internal Model Control Technique for Position Control of AC Servo Motors


  • Abdul Wali Abdul Ali Multimedia University, Malaysia
  • Abdullah Hadi Alquhali Faculty of Engineering, Multimedia University



AC Servo Motor, AIMC, AIMC FLC, Control Stability, Bode diagram, Dynamic load, External disturbances, IMC, Static load, Step response


This paper focuses on the simulation analysis of the conventional Internal Model Control (IMC) technique and the development of two proposed control techniques for the position control of AC Servo Motor. Internal Model Control (IMC) technique [1] was only able to control the AC Servo Motor under static load condition. Also, it had step response problems, and it was not robust against external disturbances. For these reasons, the IMC technique was further improved to control the AC Servo Motor under dynamic load conditions by proposing Amended Internal Model Controller (AIMC). The step response and the robustness of AIMC against external disturbances were further improved by proposing AIMC+FLC. Where a Fuzzy Logic Controller (FLC) is designed and connected with the AIMC.


S. A. El-Hamid And A. H. Eissa, “Position Control Of Ac Servo Motor Using Internal Model Control Strategy,†Int. J. Eng. Innov. Res., Vol. 4, No. 2, Pp. 277–281, 2015.

Makes And T. Fun, “Ac Servo Motorâ€, Ls Mecapion.

M. Vijayakarthick And P.K. Bahaba, “Position Tracking Performance Of Ac Servo Motor Based On New Modified Repetitive Control Strategy,†Vol. 10, No. January, Pp. 119–128, 2012.

“Output Time Derivative Of Input – Mathworks Simulink.â€

K. Lacanette, “A Basic Introduction To Filters-Active, Passive, And Switched-Capacitor,†In Nat. Semiconductor Corporation Applicant, 2010, Pp. 1–18.

B. Shikkewal And V. Nandanwar, “Fuzzy Logic Controller For Pmsm,†Int. J. Electr. Electron. Eng., vol. 1, no. 3, pp. 73–78, 2012

M. Negnevitsky, “Fuzzy expert systems,†Artif. Intell. A Guid. To Intell. Syst., pp. 87–130, 2011.

“Sample Time is a Fundamental Design and Tuning Specification - Practical Process Control by Control Guru.†2007.

L. H. Keel and S. P. Bhattacharyya, “A Bode Plot Characterization of All Stabilizing Controllers,†IEEE Trans. Automat. Contr., vol. 55, no. 11, pp. 2650–2654, Nov. 2010.

S. P. Singh, A. K. Gautam, J. Dubey, J. P. Pandey, and R. P. Payasi, “Performance Comparison of PMSM Drive using PI and Fuzzy Logic based controllers,†pp. 563–569, 2016.

F. Information, “Fuzzy Control Strategies in Human Operator and Sport Modeling Fuzzy Control Strategies in Human Operator and Sport Modeling,†no. July 2009, 2014.

F. F. Cheng and S. N. Yeh, “Application of fuzzy logic in the speed control of AC servo system and an intelligent inverter,†IEEE Trans. Energy Convers., vol. 8, no. 2, pp. 312–318, Jun. 1993.

J. Yin, L. Liu, and S. Shi, “Fuzzy Adaptive PID Controlling of Servo Motor System Based on DSP,†Fifth Int. Conf. Intell. Human-Mach. Syst. Cybern., pp. 26–28, 2013.

S. Wang, W. Zhu, J. Shi, H. J, and S. Huang, “A High Performance Permanent Magnet Synchronous Motor Servo System Using Predictive Functional Control and Kalman Filter,†J. Power Electron., vol. 15, no. 6, pp. 1547–1558, Nov. 2015.

F. Authors, “COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Article information :,†2015.

Sheikhidris, K., Alias, M. Y., & Roslee, M. (2017, November). Adaptive power management with fractional frequency reuse scheme for co-tier Femto-cell interference reduction. In 2017 IEEE 13th Malaysia International Conference on Communications (MICC) (pp. 311-315). IEEE.

Sheikhidris, K., Alias, M. Y., Roslee, M., & Alam, M. J. (2018, May). Throughput Maximization Based on User Association in Heterogeneous Networks. In 2018 6th International Conference on Information and Communication Technology (ICoICT) (pp. 34-37). IEEE.




How to Cite

Abdul Ali, A. W., & Alquhali, A. H. (2020). Improved Internal Model Control Technique for Position Control of AC Servo Motors. ELEKTRIKA- Journal of Electrical Engineering, 19(1), 33–40.