scholarly journals Artificial Intelligence Based Vector Controller for Switched Reluctance Motor (SRM)

2019 ◽  
Vol 9 (2) ◽  
pp. 1350-1352
Keyword(s):  
Simple Structure ◽  
Low Cost ◽  
Switched Reluctance Motor ◽  
Industrial Applications ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
High Effectiveness ◽  
Points Of Interest ◽  
Reluctance Motor ◽  
Torque Ripples

The prevalence of the Switched Reluctance Motors (SRMs) increments step by step because of its points of interest, for example, Simple structure, low cost, less weight, high effectiveness and high beginning torque when contrasted with regular motors. SRM is an electric motor which has invaluable highlights that qualifies it to be utilized in electric vehicle, aviation and industrial applications. In this paper, the switched reluctance motor is controlled using vector control by AI controller (fuzzy) so as to limit the torque ripples by directing torque inside indicated hysteresis band. AI Control of SRM encouraged through an irregular converter. The proposed AI controllers are executed in MATLAB/SIMULINK for specified SRM parameters. As indicated by the attained outcomes the SRM behavior is better when impelled by AI controller in contrast with usual controllers.

A Novel Modified Turn-on Angle Control Scheme for Torque-Ripple Reduction in Switched Reluctance Motor

2016 ◽  
Vol 7 (4) ◽  
pp. 1110 ◽  
Author(s):  
Milad Dowlatshahi ◽  
Mehrdad Daryanush
Keyword(s):  
Low Cost ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Industrial Applications ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Turn On ◽  
Reluctance Motor ◽  
Ripple Reduction ◽  
Torque Ripples

In recent years, Switched Reluctance Motors (SRM) have been dramatically considered with both researchers and industries. SRMs not only have a simple and reliable structure, but also have low cost production process. However, discrete torque production of SRM along with intensive magnetic saturation in stator and rotor cores are the major drawbacks of utilizing in variety of industrial applications and also causes the inappropriate torque ripples. In this paper, a modified logical-rule-based Torque Sharing Function (TSF) method is proposed considering turn-on angle control. The optimized turn-on angle for conducting each phase is achieved by estimating the inductance curve in the vicinity of unaligned position and based on an analytical solution for each phase voltage equation. Simulation results on a four-phase switched reluctance motor and comparison with the conventional methods validates the effectiveness of the proposed method.

scholarly journals Design of Sliding Mode Speed Controller for Switched Reluctance Motor

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Mohammed Moanes E. Ali ◽  
Yousif Khudhair Fakhir
Keyword(s):  
Sliding Mode ◽  
Low Cost ◽  
Switched Reluctance Motor ◽  
Dynamic Responses ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Quick Recovery ◽  
Speed Controller ◽  
Reluctance Motor ◽  
Electrical Motors

Switched Reluctance motors (SRM) can be classified into a group of multi-speed electrical motors. The low cost, rugged constructions and simple are feature advantages for this motor. The simplicity is the result of their torque generation principle, which known as variable reluctance principle. The SRM has many more features that have made it to be common for applications in commercial and industrial markets. The main disadvantage of SRM is the nonlinearity that it appears in their dynamics because of the magnetic saturation. It is required for SRM speed controllers to have features such as fast dynamic responses, parameter insensitivity and quick recovery from load disturbances. In this paper, a design of a robust sliding mode speed controller based on a nonlinear mathematical model is proposed. Matlab/Simulink software is used to simulate switched reluctance motor drive system under control of SMC. 6/8 switched reluctance motor has been taken as case study. The performance of proposed sliding mode control is tested at different load and speed conditions, and comparisons with conventional PI control for switched reluctance motor are presented. The sliding mode controller exhibits a better performance than the PI controller for all the studied cases.

scholarly journals Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction

2020 ◽  
Vol 2020 ◽  
pp. 1-31
Author(s):  
Iqra Tariq ◽  
Raheel Muzzammel ◽  
Umar Alqasmi ◽  
Ali Raza
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Artificial Neural ◽  
Torque Ripples

Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.

Low-Cost Linear Switched Reluctance Motor: Velocity and Position Control

2016 ◽  
Vol 25 (04) ◽  
pp. 1650021 ◽  
Author(s):  
Wajdi Zaafrane ◽  
Habib Rehaoulia ◽  
Mahir Dursun ◽  
Jalel Khediri
Keyword(s):  
Position Control ◽  
Low Cost ◽  
Switched Reluctance Motor ◽  
Industrial Applications ◽  
Switched Reluctance ◽  
Smooth Motion ◽  
Reluctance Motor ◽  
Simulation And Experiment ◽  
Linear Switched Reluctance Motor ◽  
Motor Velocity

This paper presents low-cost velocity and position control of a double-sided linear switched reluctance motor (LSRM). This investigation gives a detailed presentation of modeling, simulation and experimental results as well as open and closed loop controls. In addition, control strategy was achieved by the help of proportional-integrator (PI) controller in order to ensure smooth motion with highly reduced position and force oscillations. For low-cost purposes, PIC18F452 control board and inverter-based MOSFET are used. This simple approach helps to integrate the actuator in high precision industrial applications. Comparison between simulation and experiment results gives a good agreement.

scholarly journals Diagnostically Oriented Experiments and Modelling of Switched Reluctance Motor Dynamic Eccentricity

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3857
Author(s):  
Jakub Lorencki ◽  
Stanisław Radkowski ◽  
Szymon Gontarz
Keyword(s):  
Time Domain ◽  
Test Bench ◽  
Switched Reluctance Motor ◽  
Industrial Applications ◽  
Switched Reluctance ◽  
Static And Dynamic Analysis ◽  
Geometry Model ◽  
Reluctance Motor ◽  
Dynamic Eccentricity ◽  
The Time Domain

The article compares the results of experimental and modelling research of switched reluctance motor at two different operational states: one proper and one with mechanical fault, i.e., with dynamic eccentricity of the rotor. The experiments were carried out on a test bench and then the results were compared with mathematical modelling of quasi-static and dynamic analysis of 2D geometry model. Finally, it was examined how the operation with dynamic eccentricity fault of the motor affected its main physical parameter—the phase current. The analysis was presented in the frequency domain using the Fast Fourier Transform (FFT); however, individual current waveforms in the time domain are also shown for comparison. Applying results of the research could increase reliability of the maintenance of SRM and enhance its application in vehicles for special purposes as well as its military and industrial applications.

The Designment and Implenment of Fuzzy Hybrid Pid in Srm Appleller to Electric Valve

2013 ◽  
Vol 367 ◽  
pp. 405-410
Author(s):  
Guo Qing Li ◽  
Dean Zhao ◽  
Hui Jiang
Keyword(s):  
Fuzzy Control ◽  
Strong Coupling ◽  
Pid Control ◽  
Control Method ◽  
Switched Reluctance Motor ◽  
Feedback System ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
The Core ◽  
Reluctance Motor

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.

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