Sensorless Control of PMSM Based on Sliding Mode Variable Structure Control and Adaptive Sliding Mode Observer

Sensorless Control of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer

“…{ deα dt = −ω e e β de β dt = ω e e α (16) According to Eq. ( 16), the design of the back electromotive force adaptive law is as follows: where ẽα = êα −e α , ẽβ = êβ −e β , k is an adjustable parameter, and Eq.…”

“…However, the inherent chattering problem of the conventional SMO and the phase compensation problem brought by the low-pass filter will increase the energy consumption and computational burden of the system and affect the estimation accuracy. In order to improve this problem, some scholars have used segmented exponential function to replace the sign function in the conventional sliding mode observer, which effectively weakens the chattering phenomenon of the conventional sliding mode observer; some scholars have also used the superhelix algorithm to design an improved sliding mode observer for the position sensorless control of the PMA-SynRM, and the results show that it has a good anti-chattering property and dynamic and static performance [15,16]. However, the existence of Low-Pass Filter (LPF) makes the obtained back electromotive force still have high frequency harmonics, and in order to improve the problem, [17] designed a two-stage filtering structure combining a variable cutoff frequency low-pass filter and a modified back electromotive force observer in a sliding mode observer, which improves the adaptive capability of the lowpass filter in the case of high-frequency harmonic variations of the back electromotive force, but there is still a position compensation link in the process of rotor calculation.…”

Research on sensorless control of PMSM based on novel double-sliding mode MRAS

“…As can be seen from equation (21), it is only necessary to prove that variables 𝜎 1 and 𝜎 2 can converge to 0 in sufficient time, then 𝑥 1 and 𝑥 2 can also converge to 0 in sufficient time. Combined with equation (17), it can also be seen that the system state variables can converge to the sliding mode surface and converge to 0 in sufficient time.…”

“…Literature [20] uses the difference between the estimated current and the actual current of the d-q axis as two sliding mode surfaces, and obtains the expression of the estimated speed and the expression of the rotor position under equivalent control according to the corresponding sliding mode algorithm, so as to achieve the estimation of the speed. In literature [21], sliding mode control is used to replace the PI adaptive structure and the PI control of speed change in traditional MRAS, so as to improve the anti-interference ability of the system. Compared with the previous method, this method only introduces one adjustable parameter in the MRAS structure, which reduces the workload of parameter adjustment relatively.…”

A Rotor Position Detection Method for Permanent Magnet Synchronous Motors Based on Variable Gain Discrete Sliding Mode Observer

“…Initially, the traditional sliding mode observer requires the establishment of a mathematical model and the subsequent design of the sliding mode surface and control law based on the controlled object [4]. Position-free control of permanent magnet synchronous motors necessitates the design of a sliding mode observer for the stator current using the sliding mode algorithm [5]. The sliding mode equivalent control principle is used to estimate back potential and interference signals are eliminated using filtering techniques.…”