A Senior Project-Based Multiphase Motor Drive System Development

2016 ◽  
Vol 59 (4) ◽  
pp. 307-318 ◽  
Author(s):  
Ayman S. Abdel-Khalik ◽  
Ahmed M. Massoud ◽  
Shehab Ahmed
Energies ◽  
2016 ◽  
Vol 9 (5) ◽  
pp. 323 ◽  
Author(s):  
Dan Wang ◽  
Jiawei Yang ◽  
Zhu Chen ◽  
Chengxiong Mao ◽  
Jiming Lu

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 395
Author(s):  
Ipsita Mishra ◽  
Ravi Nath Tripathi ◽  
Vijay Kumar Singh ◽  
Tsuyoshi Hanamoto

In this paper, finite-set model-predictive control (FS-MPC) is inducted for a motor drive system. The dynamic response and multiple constraint handling nature of FS-MPC are the major factors that stand out among the controller family. However, for real-time implementation, the computational burden of FS-MPC is a primary concern. Due to the parallel processing nature and discrete nature of the hardware platform, the field-programmable gate array (FPGA) can be an alternative solution for the real-time implementation of the controller algorithm. The FPGA is capable of handling the computational requirements for FS-MPC implementation; however, the system development involves multiple steps that lead to a time-consuming debugging process. Moreover, specific hardware coding skill makes it more complex, corresponding to an increase in system complexity, which leads to a tedious task for the system development. This paper presents a FPGA-based implementation of the predictive current control of a permanent magnet synchronous motor (PMSM). FS-MPC of the PMSM drive system is designed and implemented using the digital model integration approach provided by the Xilinx system generator (XSG) and VIVADO platform. The step change in the load disturbance as well as the reference speed is considered for the analysis of the controller for the motor drive system. Moreover, the steady state error and harmonic distortion in the motor current is considered for an in-depth analysis of the system performance corresponding to different sampling frequencies.


Author(s):  
Atif Iqbal ◽  
Mohammed Al-Hitmi ◽  
Asokan Praprath

Qatar has some major research priorities, targeting; reducing carbon footprints, developing smart cities and smart grids; and these demand high deployment of electric cars in near future. Qatar is an highly progressive country adopting to new evolving technologies at a fast pace. The proposed project is aimed at the development of a robust, highly reliable, efficient and wide speed range multiphase motor drive system that falls within the right context of the current research priorities of the Qatar University and the State of Qatar. The idea here is to use pole phase modulation technique to enhance the speed-torque control region of a multiphase motor drive system so that gear-less opeartion can be achieved in EV. Advantages and Disadvantages of the proposed pole phase modulated IM drives:  In high pole operation, the PPMIM drive is able to supply the high initial torque for fast acceleration and hill climbing.  The rated torque of the PPMIM drive in the high pole is k times greater than the low pole mode. For example, in 3-phase 12-pole mode, the 9-phase PPMIM drive is able to supply 3 times of the rated torque as comparted to 9-phase 4-pole mode.  In low pole mode, the PPMIM drive is able to supply high speed which is k times greater than the high pole mode.  The PPMIM drives are capable to generate 3 or 4 speed and torque variations. So, the mechanical gearbox system in conventional IC Engine based vehicles can be eliminated with the PPMIM drives, which will reduce the size and weight of the vehicle. Even though the PPMIM drives have several advantages (as mentioned above), on the other side they have a few disadvantages also such as:  To achieve the high starting torque in high power applications, the PPMIM drives has to operate in high pole and low phase mode, which magnifies the magnitude of space harmonics in the air gap.  The magnetizing inductance of the machine is inversely proportional to the square of the number of poles, which lowers the power factor.


Author(s):  
Cuifeng Shen ◽  
Hanhua Yang

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.


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