Research On Modeling Method And Control Algorithm Of Doubly Salient Electro-magnetic Generator

With the development of power electronics technology, research and development of new permanent magnet materials and insulating materials, and application of modern control theory and analysis tools such as finite element, the progress of modern science and technology has changed the feature and connotation of traditional motor technology. New types of motor technology including double salient electro-magnetic generator have been widely used in industrial field. It is hard for traditional motor control technology to adapt the demand of new industrialization, the trend of motor control technology will be computer-control whose crucial is control algorithm. This thesis achieves to control double salient electro-magnetic generator by improving traditional control methods and making it digital. Based on modern control theory, it verifies that it is possible and reliable to combine of modern control technology and traditional motor by digital controlling of motor with fuzzy control technology.Modeling a double salient electro-magnetic generator should analysis its static characteristics firstly and then obtain its magnetic field distribution, flux and inductance under idle load and load conditions. Finally, after analyzing12different models of motor running on load condition, and using Runge-Kutta and cubic spline interpolation to solve, the MATLAB modeling and simulation of double salient electro-magnetic generator can be completed.Based on the MATLAB modeling, this thesis achieves four algorithms including integral separation PID control, nonlinear PID control, fuzzy filter control and adjustable factor control. In order to get the experimental conclusions, it also experiments and obtains the important operating parameters of steady performance and dynamic performance in the specific control using all the control algorithms above.