Accurate online MTPA control of IPMSM considering derivative terms

Abstract

The conventional maximum torque per ampere (MTPA) operation usually neglects the derivative terms of interior permanent magnet synchronous motor (IPMSM) parameters, which significantly influences MTPA control accuracy. In this study, an MTPA control scheme that considers the derivative terms is developed, and a parameter identification strategy that considers the inverter to be non-ideal is developed for the calculation of the IPMSM parameters and derivative terms. In addition, the estimation accuracy of the motor parameters is further improved through the calibration of the nonlinear factors of the inverter. Finally, the effectiveness and accuracy of the proposed method is verified by simulation. This paper proposes practical methods for both inverter parameter estimation and accurate online MTPA control.

Design of Lumped Disturbance Observer in Current Loop of IPMSM Based on Recursive Integral Sliding Mode Surface

“…The block diagram of the IPMSM control scheme with disturbance compensation is shown in Figure 1, where ωe* is the reference value of the rotating speed speed, x* is the reference value of current, 𝒇 is the estimated value of the lumped disturbances f, and fc is the disturbance compensation value obtained by 𝒇 . The controlled system with the disturbance observation and compensation can be equivalent to Figure 2, then the system state equation can be shown as (7): According to (7), when f − fc = 0, the effects of system disturbances can be compensated and the actual system state can be equivalent to the ideal state without disturbances. Then, the current loop parameters can be designed according to (2) under ideal conditions.…”

“…Then, the current loop parameters can be designed according to (2) under ideal conditions. The controlled system with the disturbance observation and compensation can be equivalent to Figure 2, then the system state equation can be shown as (7):…”

“…Then, the current loop parameters can be designed according to (2) under ideal conditions. According to (7), when f − f c = 0, the effects of system disturbances can be compensated and the actual system state can be equivalent to the ideal state without disturbances. Then, the current loop parameters can be designed according to (2) under ideal conditions.…”

“…At the same time, the double-loop structure of FOC can control the torque and magnetic flux independently [3][4][5]. The inner current loop determines the dynamic and steady-state performance of stator currents [6,7]. However, IPMSM is a nonlinear and strong coupling system and contains unavoidable and unmeasured disturbances such as possible parameter variations in operating [8][9][10].…”

Intelligent multifunctional wheelchair controlled by MTPA and improved A-star algorithm

“…The real-time data of the wheelchair will be compared with the database in the cloud to determine whether the wheelchair is in danger or failure at this time. The wheel and mechanical arm of the wheelchair are driven by an embedded permanent magnet synchronous motor (IPMSM), and the MTPA control method is used [12][13][14][15][16][17] . Compared with the classic FOC control, it has better rapidity, accuracy, and smaller overshoot.…”