Adaptive Predictive Current Control of Field-Oriented Controlled Induction Motor Drive

ABSTRACT

An adaptive predictive current controller (APCC) for a direct field-oriented controlled (DFOC) three-phase asynchronous motor (AM) drive is implemented in this paper. Firstly, DFOC is implemented with conventional hysteresis current controller (HCC) and performance of HCC is being compared to that of the APCC. Stator current of induction motor (IM) is controlled using APCC according to the reference stator current produced by DFOC. An objective function defined in APCC is utilized to reduce the stator current error. The switching vector, which yields the least value of the objective function is opted and applied to the VSI. This controller does not need any linear regulators and modulation stage. Moreover, a stator resistance observer is also implemented to adapt to the change in the stator resistance. The dynamic performance of the machine under load torque, speed variations, and speed reversal are compared and analysed in MATLAB/Simulink and laboratory. The validation simulation results are made experimental results with dS1104. The fast dynamics response with respect to speed and torque, effective decoupling of flux and torque, robust operation of drive, and fast speed tracking are the benefits of the proposed APCC over classical HCC.

KEYWORDS:

• Adaptive predictive current controller (APCC)
• Digital signal processing (DSP)
• Field-oriented control (FOC)
• Hysteresis current controller (HCC)
• Induction motor (IM)
• Parameter variations

Additional information

Notes on contributors

Ambrish Devanshu

Ambrish Devanshu received his BTech degree in electrical and electronics engineering from School of Engineering, Cochin University of Science and Technology, Cochin, Kerala, India in 2011. From September 2011 to June 2014, he served as a project engineer in Wipro Technologies, Greater Noida, India. Thereafter, he joined as a full-time PhD research scholar in the Department of Electrical Engineering, Delhi Technological University, and Delhi, India and got awarded his PhD degree in 2019. Currently, he is working as an assistant professor in the KIET Group of Institutions, Delhi-NCR, and Ghaziabad, India. His research areas of interest include electric machine drives, power electronics, nonlinear control, and renewable energy.

Madhusudan Singh

Madhusudan Singh was born in Ghazipur, India, in 1968. He received the BSc degree in electrical engineering from the Faculty of Technology, Dayalbagh Educational Institute, Dayalbagh Agra, India, in 1990, the ME degree from the University of Allahabad, Allahabad, India, in 1992, and the PhD degree from the Faculty of Technology, University of Delhi, New Delhi, India, in 2006. In 1992, he joined the Department of Electrical Engineering, North Eastern Institute of Science and Technology, Nirjuli, India, as a lecturer. In June 1996, he joined the Department of Electrical Engineering, Institute of Engineering and Technology Lucknow, Lucknow, India, as a lecturer. In March 1999, he joined the Department of Electrical Engineering, Delhi College of Engineering (now Delhi Technological University) New Delhi, India, as an assistant professor, where he became a professor of electrical engineering in 2007. His research interests are in the areas of modelling and analysis of electrical machines, voltage control aspects of self-excited induction generators, power electronics and drives. E-mail: [email protected]

Narendra Kumar

Narendra Kumar has done his BE from IIT Roorkee in 1985, ME from PEC Chandigarh in 1987 and PhD from Delhi College of Engineering (Now Delhi Technological University), Delhi in 2003 in electrical engineering. He is currently a professor with the Department of Electrical Engineering, Delhi Technological University, Delhi, India. His current area of interest is power electronics applications in power systems, instrumentation and control. E-mail: [email protected]