Modified Direct Torque Control Application-Specific Integrated Circuit with Five-Stage Fuzzy Hysteresis and a Proportional–Integral–Derivative Controller for a Three-Phase Induction Motor

This paper presents a modified direct torque control (MDTC) application-specific integrated circuit (ASIC), which includes a proportional-integral-derivative (PID) speed controller and five-stage fuzzy hysteresis, for reducing torque and flux ripples, which are induced by the low vector voltage and slow response speed of the traditional DTC circuit. The high-speed fuzzy PID controller and five-stage fuzzy hysteresis improve control stability. The proposed PID controller reduces the flux and torque ripples through the modified discrete multiple vector voltage (MDMVV). The proposed MDTC ASIC not only reduces torque and flux ripples but also enhances the stability of the control system. The proposed MDMVV generates four voltage vectors in a sampling cycle, whereas the conventional DTC generates a single voltage vector. Hardware description language was used to design and implement the motor control, and a programmable logic gate array board was used to verify the designed functions. The MDTC ASIC was fabricated using the 0.18-um CMOS process with a chip area of 1.193 * 1.190 mm2. At an operating frequency of 10 MHz and a voltage of 1.8 V, the power consumption was determined to be 2.457 mW.

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

[2]  H. A. Ashour,et al.  Realization of adaptable PID controller within an industrial automated system , 2014, 11th IEEE International Conference on Control & Automation (ICCA).

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

[4]  Ma Fengying,et al.  Self-adaptive Fuzzy PID control algorithm used in liquid mixing device , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

[5]  Johnson A. Asumadu,et al.  PID control for improving P&O-MPPT performance of a grid-connected solar PV system with Ziegler-Nichols tuning method , 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).

[6]  Joseph Vithayathil,et al.  Digital Simulation of Field-Oriented Control of Induction Motor , 1984, IEEE Transactions on Industrial Electronics.

[7]  Yongxin Liu,et al.  Fuzzy PID with parameters self-turning used in the belt position departure control , 2010, 2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT).

[8]  P. Ananthababu,et al.  Control of PMDC motor using fuzzy PI controller , 2009, 2009 International Conference on Control, Automation, Communication and Energy Conservation.

[9]  Guo-Ming Sung,et al.  Predictive direct torque control ASIC with speed feedback controller in motor drive , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[10]  Wang Hongqiang,et al.  Switched PID control of motor-load system , 2008, 2008 27th Chinese Control Conference.

[11]  Julu Sun,et al.  Application of self-adjusting fuzzy controller in a vector-controlled induction motor drive , 2000, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).

[12]  Xiaohong Nian,et al.  Direct Torque Control drived by matrix converter based on space vector modulated , 2014, Proceedings of the 33rd Chinese Control Conference.

[13]  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).

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