The Study Of Vector Control System Of Speed Sensorless Induction Motor Based On DsPIC

The rotor field oriented control has brought essential advances in AC variable speed drive system. Speed sensorless induction motor drive promotes the simplicity and robustness further, so the sensorless field-oriented control (FOC) technology is one major direction of motion control. In the technology, the key problem is how to estimate the speed and observe the flux of the rotor. Based on the former researches, the speed estimation and rotor flux observation methods are studied respectively using the theory of Self-adaptive Recursion Neural Network and Combined Magnetic Flux Observation.In this paper, the tendency of motion control is introduced firstly. Next the basic principle of field-oriented control and coordinate transformation are presented. The mathematic models in the different reference frame are also proposed. Then based on the advantages of recursion neural network which is able to study online and approach any nonlinear variational function. This paper uses recursion neural network to replace convetionnal self-adaptive framework, presents a based on recursion neural network self-adaptive speed estimating model, shows the. detailed network structure and estimation arithmetic The simulation result shows that the speed estimating model is good at robustness, has good dynamic and static performance, can accurately track the variation of the motor speed. Furthermore, the design of the vector control system's power circuit, control circuit and software system is researched too. Lastly, the model of the control system is established, the simulation result based on MATLAB shows the system scheme is effective and accurate.