Ph.D. received on: 7/7/1997

E-mail: tony@server.kefa.it

Tutor: Prof. Francesco Alonge, University of Palermo

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Theoretical and experimental study of controllers of innovative type for automatic motion systems   ___________________________________________________________________________________________________________

Advisor:

Prof. Tommaso Raimondi, University of Palermo

Prof.  Francesco Alonge, University of Palermo

Summary:

The rapid evolution in power electronics and digital signal processors justifies the interest of many researchers toward the study of sophisticated control techniques  for motion control systems with induction motors. To implement the above control techniques it is necessary to have an “open” inverter at disposal, i.e. an inverter whose power switches can be directly driven. This suggested the design and realization of  a 75 kW supply device consisting of  a CA/CC converter, filter and inverter.
For model-based synthesis of a controller, it is necessary to identify the parameters of a mathematical model of the motor. This  identification  is  carried  out in order  to reproduce the  input-output behaviour of  the system. Since the voltages given by the inverter are PWM waves, Genetic Algorithms are used for minimizing a cost function expressing the difference between the experimental behaviour and that simulated using the mathematical model. In fact, methods based on Genetic Algorithms do not require computation of derivatives of the variable involved.
Finally, for implementation of sophisticated controllers it is necessary to estimate the rotor flux vector components. To this end, a reduced order observer is proposed and implemented on a PC.
All the algorithms proposed are tested experimentally.
 
 

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