Design and Implementation of a Feedback Linearization Controlled IM Drive via Simplified Neuro-Fuzzy Approach

ABSTRACT

This research paper introduces an outline of a simplified version of single-input neuro-fuzzy controller (NFC) method via a decoupling-controlled intuitive feedback linearization (FBL) approach of induction motor (IM) model. The proposed NFC with FBL extensively reduces the torque and speed ripple along with better performance enhancement. A simplified state-space feedback linearization technique-based nonlinear IM model is designed and simulated in the stationary reference frame. Again, the parameter and plant uncertainties in the feedback-linearized model of the IM are continuous phenomenon which led to the design of a robust, simplified NFC to overcome these issues in the real-time industrial application. The proposed reduced membership function (MF) based simplified NFC is the integration of fuzzy logic and neural network concept with single input as an error (speed and torque) unlike two inputs error and change in error of conventional NFC. This has the advantage of improving the computational efficiency due to its simple structure and robustness over conventional NFC. This makes the system easy and simple to implement in a realistic situation. The performance and effectiveness of the proposed method using FBL concept of IM drive is analyzed using MATLAB software in different modes of operation and is distinguished with the conventional PI-controller and conventional NFC to show its superiority. The proposed system with the different control strategies is also validated by extensive experimental results using DSP 2812.

KEYWORDS:

• Feedback linearization
• Induction motor
• Neuro-fuzzy controller
• PI-controller
• Stationary reference frame

ACKNOWLEDGEMENTS

I wish to sincerely thank NIT Rourkela and SIT, Bhubaneswar for their constant support and resources to carry out this work.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Rabi Narayan Mishra

Rabi Narayan Mishra is pursuing PhD degree at National Institute of Technology (NIT), Rourkela, India. He is a life-time member of ISTE. His research area is focused on application of nonlinear control and soft computing technique in induction motor drive, power electronics.

E-mail: [email protected]

Kanungo Barada Mohanty

Kanungo Barada Mohanty received BTech degree in electrical engineering from VSSUT, Burla in the year 1989. His MTech and PhD degrees are from IIT Kharagpur in the years 1990 and 2002, respectively. He is a faculty member of NIT Rourkela since 1991, and presently working as associate professor. He is member of IEEE since 2008 and senior member of IEEE since February 2011. He is also fellow of Institution of Engineers (India) and IETE. His research interests include vector control and direct torque control of induction machines, wind and solar energy systems.

E-mail: [email protected]