Direct Torque and Field Oriented Control for Automotive Induction Motor

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Dr. Sütő Zoltán
Department of Automation and Applied Informatics

The goal of the thesis was to give an introduction about the background knowledge required to design different, modern motor control methods for induction machines. These topics include space-vector theory, space vector pulse width modulation, general mathematical modelling of induction motors and then transforming these models into the d-q rotating reference frame.

After the introduction of the relevant subjects were done, the principle of operation and the design steps of two modern control methods have been described: Field Oriented Control and Direct Torque Control. With all the required theoretical knowledge explained, each part of a motor control system was modelled in Simulink and simulations were carried out to validate the designed controllers. Both of them proved to be well working for different reference signals under various operating conditions.

Due to the change of the project goals, instead of performing measurements, several sensorless methods were implemented. As a technology segment that is gaining more and more attention in the industry, sensorless algorithms prove to have several advantages over drives with speed sensor: they are more reliable, since they lack the speed sensor which often provides signal loaded with errors and can get out of order. Different algorithms were implemented, their advantages and disadvantages were presented among with simulation results.

In the final section, the two control algorithms are compared to each other, highlighting their drawbacks and advantages over each other and their application in the automotive industry is considered.

In the future, the thesis can be continued in different directions. One way is to validate the control and sensorless methods by measurements. The other way, which could be done along with the first one, is to implement online parameter identification algorithms in order to make the controllers and the sensorless methods more reliable. Apart from the shown ones, there are several different sensorless methods existing which could be proven to be applicable in automotive fields.


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