DTC two level and three level inverters of Induction Motor with speed control using Fuzzy Logic Controller

This paper is to present and to compare the DTC applied to an induction motor (IM) fed by two-level and three level inverters voltage. Direct torque control (DTC) of induction motors fed by a two level inverters has drawbacks like more torque, flux and current ripples in steady state. All these drawbacks can be overcome by DTC of induction motor fed by a three level inverters. Three level inverters has several advantages over the standard two-level, such as a greater number of levels in the output voltage waveforms, lower dV/dt, less harmonic distortion in voltage and current waveforms and lower switching frequencies. In this paper, a fuzzy logic controller is proposed instead of a PI classic corrector to improve the speed performance of the drive. To demonstrate the great advantages of using a three-level inverters type NPC and a fuzzy logic controller of speed of induction motor, simulation results using Power System Blocset (PSB) of Matlab / Simulink are presented.

[1]  Saptarshi Das,et al.  Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay. , 2011, ISA transactions.

[2]  Bin Wu,et al.  Multilevel Voltage-Source-Converter Topologies for Industrial Medium-Voltage Drives , 2007, IEEE Transactions on Industrial Electronics.

[3]  Abdesslam Lokriti,et al.  Induction motor speed drive improvement using fuzzy IP-self-tuning controller. A real time implementation. , 2013, ISA transactions.

[4]  Alfred Rufer,et al.  A three-phase multilevel converter for high-power induction motors , 1998 .

[5]  M. Depenbrock,et al.  Direct self-control (DSC) of inverter-fed induction machine , 1988 .

[6]  Zhao Zhengming Study on Capacitor Voltage Balance for Multi-level Inverter Based on a Fast SVM Algorithm , 2006 .

[7]  J.W. Kolar,et al.  Center-Point Voltage Balancing of Hysteresis Current Controlled Three-Level PWM Rectifiers , 2008, IEEE Transactions on Power Electronics.

[8]  Shady Gadoue,et al.  Artificial intelligence-based speed control of DTC induction motor drives—A comparative study , 2009 .

[9]  A. Tani,et al.  FOC and DTC: two viable schemes for induction motors torque control , 2002 .

[10]  R.D. Lorenz,et al.  Stator and rotor flux based deadbeat direct torque control of induction machines , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[11]  G. Abad,et al.  Two-Level VSC Based Predictive Direct Torque Control of the Doubly Fed Induction Machine With Reduced Torque and Flux Ripples at Low Constant Switching Frequency , 2008, IEEE Transactions on Power Electronics.

[12]  Y M Zhao,et al.  Performance-based parameter tuning method of model-driven PID control systems. , 2012, ISA transactions.

[13]  Y. Zidani,et al.  Fuzzy logic control contribution to the direct torque and flux control of an induction machine , 2011, 2011 International Conference on Multimedia Computing and Systems.

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

[15]  M.N. Uddin,et al.  Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives , 2004, IEEE Transactions on Industry Applications.

[16]  N Pappa,et al.  Design of a self-tuning regulator for temperature control of a polymerization reactor. , 2012, ISA transactions.