A Model-Based Suboptimal Control to Improve Induction Motor Efficiency

This paper proposes a control strategy for energy efficiency improvement of three-phase induction motors (TIM). The main control is based on the indirect field-oriented approach. A loss model-based controller is proposed in order to reduce the cooper and iron losses of TIM for different load values. A nonlinear equation based only on quadrature currents is derived and used to obtain suboptimal flux reference in steady-state conditions. Thus, for dynamic implementation (motor transient), a low-pass filter is included and designed based on the rotor time constant. MATLAB simulations are performed to test the proposed strategy for several operation conditions. To verify the approach in real situations, a 4hp motor drive platform was implemented using F28069 DSP. The effectiveness of the proposed model is demonstrated through simulations and experimental results.

[1]  Toshihiko Noguchi,et al.  A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor , 1986, IEEE Transactions on Industry Applications.

[2]  M.N. Uddin,et al.  New Online Loss-Minimization-Based Control of an Induction Motor Drive , 2008, IEEE Transactions on Power Electronics.

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

[4]  Fouad Giri,et al.  Induction Machine Speed Control with Flux Optimization , 2010 .

[5]  Ajith Abraham,et al.  Optimal gain tuning of PI speed controller in induction motor drives using particle swarm optimization , 2011, Log. J. IGPL.

[6]  A. Sukeshkumar,et al.  New online loss- minimization-based control of scalar and vector-controlled induction motor drives , 2012, 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[7]  J. Luomi,et al.  Loss-Minimizing Flux Level Control of Induction Motor Drives , 2012, IEEE Transactions on Industry Applications.

[8]  N. C. Barford Experimental Measurements: Precision, Error and Truth , 1967 .

[9]  Gary Wills,et al.  Attribute Importance Measure Based on Back-Propagation Neural Network: An Empirical Study , 2015 .

[10]  Paolo Castaldi,et al.  A new adaptive approach for on-line parameter and state estimation of induction motors , 2005 .

[11]  E. Karaman,et al.  Efficiency-optimized hybrid field oriented and direct torque control of induction motor drive , 2011, 2011 International Conference on Electrical Machines and Systems.

[12]  J. F. Moreno,et al.  Realisation of tests to determine the parameters of the thermal model of an induction machine , 2001 .

[13]  Patrick Guillaume,et al.  Induction motor dynamic and static inductance identification using a broadband excitation technique , 1998 .

[14]  Emil Levi Impact of iron loss on behaviour of vector controlled induction machines , 1994 .

[15]  Ahmed A. Zaki Diab,et al.  Real-Time Implementation of Full-Order Observer for Speed Sensorless Vector Control of Induction Motor Drive , 2014 .

[16]  C. Thanga Raj,et al.  Energy Efficient Control of Three-Phase Induction Motor - A Review , 2009 .

[17]  Ralph Kennel,et al.  Loss Minimization of Induction Machines in Dynamic Operation , 2013, IEEE Transactions on Energy Conversion.

[18]  Emerson G. Carati,et al.  Hybrid Adaptive Efficiency Control technique for energy optimization in induction motor drives , 2010, 2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010.

[19]  Ji-Yoon Yoo,et al.  A design method of PI controller for an induction motor with parameter variation , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

[20]  Durval de Almeida Souza,et al.  Adaptive Fuzzy Controller for Efficiency Optimization of Induction Motors , 2007, IEEE Transactions on Industrial Electronics.

[21]  Alessandro Goedtel,et al.  A Robust Neural Method to Estimate Torque in Three-Phase Induction Motor , 2014 .

[22]  Emerson Giovani Carati,et al.  A new model based control strategy for energy efficiency improvement of induction motors with variable load , 2013, 2013 Brazilian Power Electronics Conference.

[23]  Hypolito José Kalinowski,et al.  Validation of thermal and electrical model for induction motors using fiber Bragg gratings , 2013 .