Abstract
To improve the observation accuracy and robustness of the sensorless control of an interior permanent magnet synchronous motor (IPMSM), a sliding mode observer based on the super twisting algorithm (STA-SMO) with adaptive parameters estimation control is proposed, as parameter mismatches are considered. First, the conventional sliding mode observer (CSMO) is analyzed. The conventional exponential approach law produces a large chattering phenomenon in the back EMF estimation, which causes a large observation error when filtering the chattering through the low-pass filter. Second, a high-order approach law of the super twisting algorithm is introduced to observe the rotor position and speed estimation, which uses the integral function to eliminate the chattering of the sliding mode. Third, an adaptive parameter estimation control (APEC) is presented to enhance the observation accuracy caused by parameter mismatches; the motor parameter adaptive law of the APEC is designed by Lyapunov’s stability law. Finally, the proposed method not only reduces both the chattering and the low-pass filter, but it also enhances accuracy and robustness against parameter mismatches, as discussed through simulations and experiments.
Highlights
To further improve system control performance, scholars have considered the permanent magnet synchronous motor (PMSM) to be a research subject as they are constantly exploring the advanced control theory [1]
The methods did not take into account the characteristics of the dq-axis inductance inequality of the interior permanent magnet synchronous motor (IPMSM), which are limited to the surface mounted permanent magnet synchronous motor (SPMSM)
The adaptive parameter estimation control (APEC) effectively tracks the change of the resistance parameter and effectively suppresses the influence of the motor resistance parameter on the observation results, but it tracks the actual value of the IPMSM dq-axis inductance
Summary
To further improve system control performance, scholars have considered the permanent magnet synchronous motor (PMSM) to be a research subject as they are constantly exploring the advanced control theory [1]. According to the change of the sliding mode surface and system state, the convergence speed of the system can be adjusted adaptively, and the high frequency chattering of the back EMF can be reduced. This adaptive exponential approach law always has complex parameter tuning. An adaptive parameter estimation controller (APEC) in conjunction with a sliding mode observer based on the super twisting algorithm (STA-SMO) is proposed to realize the sensorless control of the IPMSM system. The STA-SMO is proposed to avoid the introduction of the low-pass filter, thereby reducing the chattering of the sliding mode and improving the observation accuracy of the observer.
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