A New Robust Control Method for Switched Reluctance Motor

Author(s):  
Cong Dai ◽  
Yong-zhi Liu ◽  
Hao-shui Sun
2013 ◽  
Vol 367 ◽  
pp. 405-410
Author(s):  
Guo Qing Li ◽  
Dean Zhao ◽  
Hui Jiang

To solve the strong coupling and nonlinear of switched reluctance motor (SRM) used in the Electric valve ,we use a fuzzy compound PID control method, and apply it to the switched reluctance motors speed control system.The simulation applys that this method combines the advantages of fuzzy control and PID control and is well applied to non-linears object.Based on the theory, we design the core to the outer loops speed feedback and inner current loops feedback system in TMS320F28335,and describe the specific hardware and software structure, morely verify the feasibilitys test. The theory can solve the problem that the traditional PID cannot meet the variation of the parameter from the electric valve.


The grail of this paper is to investigate the performance of various DC-DC converters for solar based water pump system incorporating switched reluctance motor drive. The Converters used are CUK converter, Buck-Boost converter and Boost converter respectively. The speed of the switched reluctance motor is regulated by the mid-point converter along with the various DC-DC converters. The Switched reluctance motor is adopted over other motors because of its low inertia, ease of control, speed range is wide, less losses as there is no windings nor permanent magnets Present on the rotor. In order to operate the solar PV array at its optimum level we employ maximum power point tracking (MPPT) and specifically Perturb and Observe control method is employed in this project. The proposed system deals with the design, modeling and simulation of three different types of converters using MATLAB/Simulink environment. The applicability of this system can be analyzed by the simulated results.


2021 ◽  
pp. 104-114
Author(s):  
Xifeng Mi , Yuanyuan Fan

In this paper, the model free adaptive control method of switched reluctance motor for electric vehicle is studied. Based on the torque distribution control of SRM, a SRM control strategy based on torque current hybrid model based on RBF neural network is proposed in this paper. Based on the deviation between the dynamic average value and instantaneous value of SRM output torque, the online learning of RBF neural network is realized. At the same time, this paper constructs a torque current hybrid model, obtains the current variation law of SRM under low torque ripple operation, and reduces the torque ripple of SRM. The SRM torque distribution control is realized on the SRM experimental platform. Compared with the voltage chopper control method, the experimental results show that the torque ripple of SRM can be reduced by adopting the torque distribution control strategy.


Author(s):  
Hafeezul Haq ◽  
Halil Ibrahim Okumus

The switched reluctance motor gains a significant response in industries in the past decade because of its ruggedness, high torque to inertia ratio, simple structure, high reliability and inexpensive manufacturing capability. These features make it a suitable candidate for various applications and electric drives. However, In the field of electric drives a switched reluctance motor drive is having doubly salient structure thus it inherently produces high torque ripples and acoustic noise problems and its controlling difficulties that is an undesirable effect for vehicle applications, especially at low speed. The main objective of this paper is to minimize the torque ripples and to control its speed. In this paper a fuzzy logic controller based direct torque control method is used for speed controlling and for controlling of torque ripples of the 8/6 SRM drive. It’s modelling and application of fuzzy logic controller based direct torque control method is done in MATLAB/SIMULINK environment.


Sign in / Sign up

Export Citation Format

Share Document