Predictive Direct Torque Control Application-Specific Integrated Circuit of an Induction Motor Drive with a Fuzzy Controller

This paper proposes a modified predictive direct torque control (PDTC) application-specific integrated circuit (ASIC) of a motor drive with a fuzzy controller for eliminating sampling and calculating delay times in hysteresis controllers. These delay times degrade the control quality and increase both torque and flux ripples in a motor drive. The proposed fuzzy PDTC ASIC calculates the stator’s magnetic flux and torque by detecting the three-phase current, three-phase voltage, and rotor speed, and eliminates the ripples in the torque and flux by using a fuzzy controller and predictive scheme. The Verilog hardware description language was used to implement the hardware architecture, and the ASIC was fabricated by the Taiwan Semiconductor Manufacturing Company through a 0.18-μm 1P6M CMOS process that involved a cell-based design method. The measurements revealed that the proposed fuzzy PDTC ASIC of the three-phase induction motor yielded a test coverage of 96.03%, fault coverage of 95.06%, chip area of 1.81 × 1.81 mm2, and power consumption of 296 mW, at an operating frequency of 50 MHz and a supply voltage of 1.8 V.

[1]  T. S. Udhaya Suriya,et al.  Low power analysis of MAC using modified booth algorithm , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

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

[3]  Jan Swevers,et al.  Model predictive control of automotive powertrains - first experimental results , 2008, 2008 47th IEEE Conference on Decision and Control.

[4]  Haihua Liu,et al.  Study of Fuzzy Control in Direct Torque Control system , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[5]  T. Sutikno,et al.  An Improved FPGA Implementation of Direct Torque Control for Induction Machines , 2013, IEEE Transactions on Industrial Informatics.

[6]  H.I. Okumus A new torque controller for Direct Torque Controlled Induction Machine drives , 2008, 2008 12th International Middle-East Power System Conference.

[7]  Wai Wan Tsang,et al.  An efficient shadow algorithm for area light sources using BSP trees , 1998, Proceedings Pacific Graphics '98. Sixth Pacific Conference on Computer Graphics and Applications (Cat. No.98EX208).

[8]  Jian Song,et al.  A Model-Predictive-Control-Based Torque Demand Control Approach for Parallel Hybrid Powertrains , 2013, IEEE Transactions on Vehicular Technology.

[9]  Abdellatif Mtibaa,et al.  Fuzzy speed controller for an induction motor associated with the Direct Torque Control: Implementation on the FPGA , 2015, 2015 4th International Conference on Systems and Control (ICSC).

[10]  Rajesh Rajamani,et al.  Model predictive control of transitional maneuvers for adaptive cruise control vehicles , 2004, IEEE Transactions on Vehicular Technology.

[11]  S. Ramasamy,et al.  FPGA implementation of direct torque control of induction motor , 2010, 2010 International Conference on Signal and Image Processing.

[12]  Kenji Suzuki,et al.  Individual A/F Estimation and Control With the Fuel–Gas Ratio for Multicylinder IC Engines , 2009, IEEE Transactions on Vehicular Technology.

[13]  Amit Kumar Singh,et al.  FPGA implementation of direct torque control of induction motor with reduced ripples in torque and flux , 2015, 2015 IEEE International Transportation Electrification Conference (ITEC).

[14]  Wang Wei,et al.  Design of flux-weakening control system of PMSM based on the fuzzy self-tuning PID controller , 2011, 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet).

[15]  Manfred Morari,et al.  Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis , 2009, IEEE Transactions on Industrial Electronics.

[16]  J. Amarnath,et al.  Direct torque control of induction motor based on state feedback and variable structure fuzzy controllers , 2006, 2006 IEEE Power India Conference.

[17]  S. Benaicha,et al.  A novel direct torque fuzzy control of SVM-inverter-fed induction motor drive , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[18]  S. P. Singh,et al.  Improved dynamic performance of type-2 fuzzy based DTC induction motor using SVPWM , 2012, 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[19]  Kiam Heong Ang,et al.  PID control system analysis and design , 2006, IEEE Control Systems.

[20]  H. F. Abdul Wahab,et al.  Simulink Model of Direct Torque Control of Induction Machine , 2008 .

[21]  Manfred Morari,et al.  Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation , 2009, IEEE Transactions on Industrial Electronics.

[22]  Rijil Ramchand,et al.  Constant switching frequency DTC for induction motor fed from two level voltage source inverter , 2014, 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[23]  H. A. Borhan,et al.  Model predictive control of a power-split Hybrid Electric Vehicle with combined battery and ultracapacitor energy storage , 2010, Proceedings of the 2010 American Control Conference.

[24]  Yen-Shin Lai,et al.  A New Approach to Direct Torque Control of Induction Motor Drives for Constant Inverter Switching Frequency and Torque Ripple Reduction Yen-Shin Lai, Member, IEEEand Jian-Ho Chen , 2001 .