scholarly journals Design of Sliding-Mode-Observer-Based Sensorless Control of Boost Converters for High Dynamic Performance

2015 ◽  
Vol 19 (6) ◽  
pp. 253-261 ◽  
Author(s):  
Xutao Li ◽  
Minjie Chen ◽  
Tsutomu Yoshihara
2020 ◽  
Vol 10 (8) ◽  
pp. 2776 ◽  
Author(s):  
Mahmoud A. Mossa ◽  
Hamdi Echeikh ◽  
Atif Iqbal ◽  
Ton Duc Do ◽  
Ameena Saad Al-Sumaiti

This paper aims to develop an innovative sensorless control approach for a five-phase induction motor (IM) drive. The operation principle of the sensorless scheme is based on the sliding mode theory, within which a sliding mode observer (SMO) estimates the speed and rotor resistance simultaneously. The operation methodology of the proposed control technique is formulated using the mathematical model of the machine and the two-time-scale approach. The observation technique offers a simple and robust solution of speed and rotor resistance estimation for the sensorless control approach of the multiphase drive. The paper considers the five-phase induction motor (IM) as a case study; however, the proposed control algorithm can be employed by different types of multiphase machines. To test the applicability of the proposed sensorless control approach, the drive performance is firstly validated using MATLAB/Simulink-based simulation. Then, the simulation results are verified using real-time simulation and experimentally using TMS320C32 DSP-based control board. The obtained results confirm and validate the ability of the proposed control procedure in achieving a robust dynamic performance of the drive against the system uncertainties such as parameter variation.


2015 ◽  
Vol 740 ◽  
pp. 317-320
Author(s):  
Tong Yi Han ◽  
Zhong Hua Wang ◽  
Fei Fei Han

In this paper, a new sliding-mode observer (SMO) for sensorless control of permanent magnet synchronous motor (PMSM) is proposed. The observer is built based on the study of the back electromotive force (EMF) equivalent control. The new SMO, which substitues a hyperbolic tangent function for the signum function with a variable boundary layer, can reduce the chattering phenomenon. In order to overcome the time delay, we cancelled the low-pass filter and phase compensation module. In this way, not only the structure of the observer is simplified, but also the estimation precision is improved. The simulation results prove that the new SMO has a good dynamic performance and static quality.


Author(s):  
Xiaolei Shi ◽  
Yipeng Lan ◽  
Yunpeng Sun ◽  
Cheng Lei

This paper presents a sliding mode observer (SMO) with new reaching law (NRL) for observing the real-time linear speed of a controllable excitation linear synchronous motor (CELSM). For the purpose of balancing the dilemma between the rapidity requirement of dynamic performance and the chattering reduction on sliding mode surface, the proposed SMO with NRL optimizes the reaching way of the conventional constant rate reaching law (CRRL) to the sliding mode surface by connecting the reaching process with system states and the sliding mode surface. The NRL is based on sigmoid function and power function, with proper options of exponential term and power term, the NRL is capable of eliminating the effect of chattering on accuracy of the angular position estimation and speed estimation. Compared with conventional CRRL, the SMO with NRL achieves suppressing the chattering phenomenon and tracking the transient process rapidly and accurately. The stability analysis is given to prove the convergence of the SMO through the Lyapunov stability theory. Simulation and experimental results show the effectiveness of the proposed NRL method.


2021 ◽  
Vol 2030 (1) ◽  
pp. 012004
Author(s):  
Chengwei Xie ◽  
Jingbo Wu ◽  
Zhijun Guo ◽  
Yongwei Wang ◽  
Junjie Liu

2014 ◽  
Vol 556-562 ◽  
pp. 2270-2273
Author(s):  
Hua Cai Lu ◽  
Juan Ti ◽  
Yi Ming Yuan ◽  
Li Sheng Wei

In this paper, a new sensorless control method is proposed for a permanent magnet linear synchronous motor based on Fuzzy sliding mode observer, which combines the advantages of sliding mode observer and Fuzzy controller respectively. The difference between the current estimated value and the actual current value is regarded as sliding mode function; sliding mode function (current error) and variation of the error are used as the input of fuzzy controller, and the width of the boundary layer as the output, adjusting the width of the boundary layer dynamically in real time. The simulation results show that Fuzzy sliding mode observer is able to find a balance between soft chattering and steady-state error, keep the system robustness and control precision.


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