Journal
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
UDK621.313
Issue:2 (148)
Download PDF0 Kbyte
Comparative analysis of switched reluctance motor control algorithms
Annotation
Nowadays it has become possible to develop inexpensive modern control systems for nonlinear complexity electromechanical objects due to the development of microprocessor technology and power electronics. Switched reluctance electric machines are among these devices. It makes it possible to widely use such electric machines in various practical implementations, in particular, in traction drives, electric drives of oil and gas drilling rigs, and in other applications. The switched reluctance electric machine is a non-linear object, and its control methods require formalization and grouping. The manuscript considers the design and functional features of switched reluctance electrical machines. The main methods of controlling these electrical machine types are given. Comparative analysis of the most known methods is carried out. The main classical methods of switched reluctance electric machine control are considered, such as a relay current controller with a limitation, the method of controlling the turn on/off angles and controlling the DC link voltage. Transient responses in the electric drive system are demonstrated using the considered methods. It is shown that by adjusting the on/off angles, it is possible to reduce the torque oscillation coefficient. The identified features of the presented methods will make it possible to simplify and reduce the development time for an effective control system for switched reluctance electrical machines as well as to reduce the torque ripple.
Keywords
Постоянный URL
Articles in current issue
- Polymer composition with phenanthrenequinone for recording relief holographic gratings
- Modern approaches to the application of mathematical modeling methods in biomedical research
- Analysis of the phase images obtained during the collection of a holographic registration system based on the geometric phase effect and a polarization camera
- Color triangle color separation system for colorimetric research in microscopy
- The concept of aerial photography using a two-element active optoelectronic complex
- Variational problem of adaptive optimal control. Theoretical and applied computer analysis
- Brief review of the development of theories of robustness, roughness and bifurcations of dynamic systems
- Multiple context-free path querying by matrix multiplication
- Predicting the results of the 16-factor R. Cattell test based on the analysis of text posts of social network users
- Methodology for the control of electric power distribution system components to ensure the quality of consumed electricity
- Voice based answer evaluation system for physically disabled students using natural language processing and machine learning
- Natural language based malicious domain detection using machine learning and deep learning
- Hybrid JAYA algorithm for workflow scheduling in cloud
- Information model of the essential goods purchase duration
- Analysis and control of user engagement in personalized mobile assisting software for chronic disease patients
- Role discovery in node-attributed public transportation networks: the model description
- A survey of network intrusion detection systems based deep learning approaches
- Monitoring the health status of the population by age groups
- An intelligent shell game optimization based energy consumption analytics model for smart metering data
- Active voltage damping method with negative DC link current feedback in electric and hybrid electric transmissions
- Gas dynamics of stationary supersonic gas jets with inert particles exhausting into a medium with low pressure
- Mixed forms of free oscillations of a rectangular CFCF-plate
- Modeling of heat-hydrodynamic processes in evaporators of low-temperature systems with intrachannel boiling of refrigerants
- High performance modeling of the stress-strain state of thin-walled shell structures with the use of deep learning
- Validation of state machine specifications