Speed Control of Segmented PMLSM Based on Improved SMC and Speed Compensation Model

Tong, Wen; Xiang, Biao; Wang, Zhongyi; Zhang, Silei

doi:10.3390/en13040981

Cited by 9 publications

(5 citation statements)

References 25 publications

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“…Additionally, a Lyapunov function is constructed to analyze the stability of the sliding mode observer. However, differing from the traditional signumfunction based SMOs [32], the stability analysis procedures of the new observers are more complicated. On this ground when determining the explicit conditions that make the system stable, a new concept of estimation-error-limitation is proposed and adopted in this paper.…”

Section: Introductionmentioning

confidence: 99%

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

Tan

et al. 2020

IEEE Access

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This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the lowswitching-frequency (LSF) range, where the switching loss is low. The new controller is based on tripartite calculations in each control period and sliding mode (SM) rotor-related inductance observer. In detail, firstly, to solve the problem that the control performance of the traditional FCS-MPCC methods is low when they are used at low frequencies, tripartite calculations are employed in each control period to improve the prediction accuracy. By dividing one control period into three equal parts and executing the prediction algorithm in each subsection, the current estimation errors become lower compared to the conventional single-step Euler-discretization controller. Then, considering that the performance of an FCS-MPCC controller highly relies on the machine parameter values, but it is hard to directly obtain the accurate rotor-related inductances (mutual inductance and rotor inductance), this paper uses an online parameter observer based on the sliding mode (SM) principle to diagnose them in real time. It needs to be mentioned that when discussing the stability of the sigmoid-function-based SM observer, a new technique called estimation-error-limitation is initially adopted in this paper to simplify the analysis process. Finally, the proposed algorithms are verified by simulation, which is conducted on a three-phase IM at LSF situations. INDEX TERMS Induction motor, finite control set model predictive control, sliding mode observer, parameter mismatch, low switching frequency.

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Section: Introductionmentioning

confidence: 99%

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

Tan

et al. 2020

IEEE Access

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“…In this manuscript, the pressure control system is analyzed and the dynamic model is established. Adaptive sliding mode control strategy based on disturbance observer (ASMC-DOB) is designed to improve the control accuracy of systems with mismatched uncertainties, which SMC algorithm can't overcome very well [28,29]. Simulation and experimental results show that the designed algorithm can significantly improve the control accuracy and effectively suppress chattering.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control Based on Disturbance Observer for Placement Pressure Control System

2020

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In the process of composite placement, irregularity and asymmetry pressure fluctuation will affect the density and evenness of composite products, which lead to the inconsistency of interfacial strength and fiber volume fraction. The dynamic performance of placement pressure systems will be affected by external disturbance, mechanism friction and measurement noise. In this paper, an adaptive sliding mode control (ASMC) strategy based on disturbance observer (DOB) is proposed. The disturbance observer is introduced to estimate the equivalent disturbance torque, and the estimation error is compensated by the switching term of sliding mode control. The adaptive method is used to ensure that the switching gain is not overestimated, and then the Lyapunov function is used to verify the stability of the closed-loop control system. The experimental results and simulation analysis show that ASMC-DOB has high control accuracy and good robustness. At the same time, the designed algorithm can effectively reduce the void content of composite products.

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“…In general, the traditional auto-transportation system adopts the mechanical conversion system to transfer rotational motion into linear motion, but this kind of auto-transportation system could not satisfy requirements on rapidity, high efficiency, great load capacity and low energy consumption [1]. Therefore, the permanent magnet linear synchronous motor (PMLSM) is widely used in the auto-transportation system due to its advantages on high reliability, high motor efficiency and great power density [2]- [4]. However, the stators in the continuous PMLSM are usually continuously connected and arranged on the transportation rail, so the flexibility of the continuous PMLSM is weakened and the initial cost is increased in the long-distance auto-transportation system [5].…”

Section: Introductionmentioning

confidence: 99%

“…stators is becoming the research focus of the long-distance auto-transportation system [4], [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Segmented PMLSM for Long-Distance Auto-Transportation System Based on Parameter Calibration

et al. 2020

Self Cite

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The permanent magnet linear synchronous motor (PMLSM) with segmented stator is applied in the long-distance auto-transportation system. For the PMLSM with the discontinuous stators, the mismatch between the permanent magnet (PM) mover and the stator would make electromagnetic (EM) parameters deflect nominal values, and then position/speed precision of the PM mover would be affected. In this article, the sensorless control based on the parameter calibration is used to drive the PM mover above the segmented stators during the drive process. Furthermore, an improved model reference adaptive integrator based on the parameter calibration is proposed to calibrate the EM parameters during the switch process. The simulation and experimental results confirm that the speed precision and the robustness of the segmented PMLSM are enhanced distinctly.

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Speed Control of Segmented PMLSM Based on Improved SMC and Speed Compensation Model

Cited by 9 publications

References 25 publications

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

Adaptive Sliding Mode Control Based on Disturbance Observer for Placement Pressure Control System

Sensorless Control of Segmented PMLSM for Long-Distance Auto-Transportation System Based on Parameter Calibration

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