Effective Position Error Compensation in Sensorless Control Based on Unified Model of SPMSM and IPMSM

Self Cite

To cancel harmonics and get fundamental back EMFs for precise rotor position and speed estimations under short-circuit fault, this article introduces a new sensorless fault-tolerant control method for 5-phase PMSM using a sigmoid sliding mode observer (SSMO) with a second-order generalized integrator (SOGI) to replace the LPF. For tuning SOGI, two different frequency estimators are proposed. First, a closed-loop synchronous reference frame phase-locked loop (SRF-PLL) is fed back to SOGI for frequency adaptation based on two orthogonally estimated filtered-back EMFs. Second, an independent open-loop frequency estimator (OLFE), based on two-estimated adversely distorted back EMFs, is proposed to ensure simple implementation. The speed and rotor position estimations are eventually accomplished from the quadrature PLL. Both SOGI-SRF-PLL and SOGI-OLFE-based SMO achieve satisfactory estimation performance under SC fault conditions, eliminate chattering issues, have good tracking errors, and have strong robustness against load disturbance. The results of simulation and practical experiments proved the effectiveness of these methods in all conditions.INDEX TERMS Multi-phase PMSM, single-phase short-circuit fault, sensorless fault tolerant control, sliding mode observer SMO, second-order generalized integrator SOGI.

Section: Sensorless Control Strategymentioning

confidence: 94%

Speed and Position Estimation for 5-ph PMSM Using SOGI Based on SMO Considering Short-Circuit Fault

Farahat,

Liu,

Liu

et al. 2024

Self Cite

“…An inevitable DC bias will manifest in the system due to measurement errors in the current sensor and uncertainties in the parameters. Reference [165] replaced the traditional LPF with a band-pass filter, and only the signal in a specific frequency range is reserved to decrease the chattering of the SMO, and effectively suppress the DC bias and high-frequency noise.…”

Section: A the Filtering Methodsmentioning

confidence: 99%

Overview of Sliding Mode Control Technology for Permanent Magnet Synchronous Motor System

Li,

Ding,

Sun

et al. 2024

With the increasingly widespread application of permanent magnet synchronous motors (PMSMs), it is required that PMSM can still maintain high efficiency and high reliability in complex environments. Due to the nonlinearity of PMSMs and the influence of external disturbances, its precise control is still a challenge. As a modern control scheme, sliding mode control can improve the control PMSM drive system. It has been successfully applied in the control of PMSMs and has become a hot spot in the motor drive system. This paper provides an overview of the current research status of sliding mode control strategies based on PMSMs and introduces the design of sliding mode controllers, as well as the development and application of high-order sliding mode control. The method of suppressing the chattering problem is summarized, and the deficiencies of it are put forward. Finally, the development trend of sliding mode control technology is discussed, and the future development direction of SMC for PMSM is prospected.

“…In general, rotor flux linkage observers can be constructed based on two models, i.e., the current model (CM), voltage model (VM) [15] - [18]. For the CM-based method, the given flux linkage values (in synchronous rotation coordinate) combined with rotor position are used to estimate rotor flux linkage (in two-phase stationary coordinate).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the phase information in the estimated rotor flux is changed, and amplitude of estimated flux will be reduced. The resulting distortions will be severe if the operating frequency below the LPF's cutoff frequency [18].…”

Section: Introductionmentioning

confidence: 99%

Improved MOGIFO-Based Flux Observation Strategy for PMSM Sensorless Drives

Dian,

Zhang,

Jiang

2024

Due to parameter variations, measurement errors, and converter non-linearities of for permanent magnet synchronous machine (PMSM) system, traditional rotor flux observers suffer from the dc drift and harmonics. Benefit from the filter characteristics, the generalized integrators are applied to reduce the harmonics and dc offset. Nevertheless, the dc component in estimated rotor flux cannot be removed effectively by second-order generalized integrator. In this work, by combining the second-and third order generalized integrators, a mixed-order generalized integral flux observer (MOGIFO) is designed. With enhanced filtering ability, it is theoretically proofed that the dc offset can be removed by the proposed MOGIFO. Based on the estimated rotor flux, the accurate rotor position and velocity can be extracted for sensorless drives. Finally, MOGIFO-based sensorless drive strategy for PMSM system are tested by the simulations and experimental results.INDEX TERMS Mixed-order generalized integral flux observer (MOGIFO), rotor flux observation, permanent magnet synchronous machine (PMSM), sensorless drives. W