The research on maximum-torque-per-ampere (MTPA) control of Interior Permanent Magnetic Synchronous Motor (IPMSM) is presented in this paper. Based on the IPMSM mathematical model in d-q reference frame, the equations of d, q axis currents and magnetic torque were derived by using extreme value principle. Thus, this algorithm realizes the IPMSM MTPA control. Under the condition of same magnetic torque, the IPMSM MTPA control can minimize the input current magnitude, decrease the IPMSM power loss and the inverter capacity, increase the system efficiency and improve the dynamic performance of system. At last, the paper built simulation model and verified the MTPA algorithm above is correct.
The precise speed and torque controls of Permanent Magnetic Synchronous Motor (PMSM) are usually realized by using speed or position sensor. However, the mounting of speed or position sensor requires an additional space. The cost of motor drive system with speed or position sensor is high, the reliability is low and is difficult to maintain. This paper presents one novel control strategy for PMSM sensorless vector control based on model reference adaption system(MRAS). This control strategy doesn’t need any speed or position sensor and can estimate the rotor speed with a few parameters. In this paper, PMSM itself is selected as reference model, and the mathematical model of PMSM which includes estimated parameter is regarded as adjustable model. The output error of these two models is used to drive the adaption mechanism and the estimated speed is obtained. The simulation results verify the proposed control strategy is effective, it has excellent dynamic and stable responses, the estimated speed precision is high and the system is robust.
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