Indirect vector control with simplified rotor resistance adaptation for induction machines

A novel indirect vector control system for induction machines is proposed. To ensure accurate rotor flux orientation in face of severe thermal drift of the rotor resistance during practical operation, the system features a new rotor resistance adaptation method. The latter is based on the elimination of the q-axis rotor flux, which is calculated from steady-state relations of the induction machine. Compared with other rotor resistance adaptation methods found in the literature, for example, observer-based and model reference adaptive system-based methods, the proposed one poses much less computation burden and is quite convenient for online implementation. The basic principle and theoretical analysis are presented. The effects of other motor parameters on the adaptation method are also investigated. Based on the investigation results, a stator resistance compensation algorithm is incorporated to reduce the impact of incorrect stator resistance at low speeds. Some non-negligible issues in practical applications, such as dead-time effect and transport delay of digital pulse-width modulation process, are also investigated and taken care of. Simulation and experimental results show good dynamic and steady-state performance.

[1]  Seung-Ki Sul,et al.  Control of Electric Machine Drive Systems , 2011 .

[2]  T. Lipo,et al.  Vector Control and Dynamics of AC Drives , 1996 .

[3]  Jung-Ik Ha,et al.  On-line rotor time constant estimation for indirect field oriented induction machine , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[4]  Cristiano Maria Verrelli,et al.  On-Line Identification of Winding Resistances and Load Torque in Induction Machines , 2014, IEEE Transactions on Control Systems Technology.

[5]  F. R. Salmasi,et al.  An Adaptive Observer With Online Rotor and Stator Resistance Estimation for Induction Motors With One Phase Current Sensor , 2011, IEEE Transactions on Energy Conversion.

[6]  Yoichi Hori,et al.  Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power , 2008, IEEE Transactions on Industrial Electronics.

[7]  E. Levi,et al.  A Review of RFO Induction Motor Parameter Estimation Techniques , 2002, IEEE Power Engineering Review.

[8]  Yu-Seok Jeong,et al.  Energy-Efficient and Robust Control for High-Performance Induction Motor Drive With an Application in Electric Vehicles , 2012, IEEE Transactions on Vehicular Technology.

[9]  Jean-Claude Vannier,et al.  An Online Simplified Rotor Resistance Estimator for Induction Motors , 2010, IEEE Transactions on Control Systems Technology.

[10]  B. Jeftenic,et al.  Speed-sensorless control of induction motor based on reactive power with rotor time constant identification , 2010 .

[11]  Leon M. Tolbert,et al.  An online rotor time constant estimator for induction machine , 2007, IEEE International Conference on Electric Machines and Drives, 2005..

[12]  Bimal K. Bose,et al.  Power Electronics and Motor Drives Recent Progress and Perspective , 2009, IEEE Transactions on Industrial Electronics.

[13]  Bin Chen,et al.  Online Updating of Rotor Time Constant Based on Combined Voltage and Current Mode Flux Observer for Speed-Sensorless AC Drives , 2014, IEEE Transactions on Industrial Electronics.

[14]  J. Doval-Gandoy,et al.  Parameter Identification of Multiphase Induction Machines With Distributed Windings—Part 2: Time-Domain Techniques , 2012, IEEE Transactions on Energy Conversion.

[15]  Shinichi Toda,et al.  One-pulse PWM mode vector control for traction drives , 1996, Power Electronics in Transportation.

[16]  S.M. Nayeem Hasan,et al.  A Luenberger–Sliding Mode Observer for Online Parameter Estimation and Adaptation in High-Performance Induction Motor Drives , 2006, IEEE Transactions on Industry Applications.

[17]  L.G.B. Rolim,et al.  H ∞ design of rotor flux-oriented current-controlled induction motor drives: speed control, noise attenuation and stability robustness , 2010 .

[18]  Luis Antonio Amezquita-Brooks,et al.  Speed and Position Controllers Using Indirect Field-Oriented Control: A Classical Control Approach , 2014, IEEE Transactions on Industrial Electronics.

[19]  D. Chatterjee.  Impact of core losses on parameter identification of three-phase induction machines , 2014 .

[20]  A. Consoli,et al.  Slip frequency detection for indirect field oriented control drives , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[21]  K. Al-Haddad,et al.  A comparative study of various MRAS-based IM's rotor resistance adaptation methods , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[22]  Tooraj Abbasian Najafabadi,et al.  An Adaptive Flux Observer With Online Estimation of DC-Link Voltage and Rotor Resistance For VSI-Based Induction Motors , 2010, IEEE Transactions on Power Electronics.

[23]  Jian Xiao,et al.  Multi-rate real-time model-based parameter estimation and state identification for induction motors , 2013 .

[24]  Remus Teodorescu,et al.  Complex state variable- and disturbance observer- based current controllers for AC drives: an experimental comparison , 2013 .

[25]  K. Kamiyama,et al.  Fully digital, vector-controlled PWM VSI-fed AC drives with an inverter dead-time compensation strategy , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[26]  Donald W. Novotny,et al.  Start-up and sensor/parameter error transients in field oriented induction machines , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.