Research On SVPWM Algorithm For Direct Vector Control

The SVPWM modulation algorithm based on two level has been developed for decades,and the application of the algorithm has become more and more proficient.The modulation technology occupies a very important position in the field of power control,and is widely used in motor control,power management and other equipment.Although many researchers are devoted to the improvement of the two level modulation technology,they are all from the angle of simplifying the mathematical operation,whether it is the angle transformation or the change of the coordinate system.The process of the modulation wave is not obviously simplified.Therefore,this paper gives a direct vector based on the analysis of the traditional technology.Control of SVPWM technology.Starting from the traditional space vector pulse width modulation technology,the basic principle of the algorithm and the concrete realization process of the modulation wave are analyzed.On the basis of the basic principle,the scheme of the direct vector type SVPWM is given.The principle and the specific modulation process are introduced,and then the simulation model is carried out through the MATLAB/Simulink.Design and build,and carry on the simulation of the algorithm.Through the comparison with the traditional space vector pulse width modulation technology,the characteristics and optimization of the direct SVPWM are analyzed.Finally,the feasibility of the algorithm is proved by the simulation waveform.In the last part of the article,in order to verify the correctness of the algorithm,a implementation platform based on TMS320F2808 is set up in accordance with the design scheme,including control circuit,IGBT driver protection circuit,AC/DC sampling circuit and power supply circuit composed of DSP and CPLD chips.In terms of software,the DSP program is written through CCS software,and PWM waveform is generated,and the waveform is loaded onto 6 IGBT pipes to complete the design of the whole platform.Through a series of experiments,the effectiveness of the algorithm is proved and the experimental target is basically achieved.