Formalism to design a neural network: Application to an induction machine drive coupled to a non linear mechanical load
Christophe Forgez, Betty Lemaire‐Semail, Jean Paul Hautier · The European Physical Journal Applied Physics · 2000
This search deals with the control of a process in order to take into account non linearities without parameters identification. Neural networks properties are exploited for the modelling of non linear features, and a formalism is proposed to design a neural model which can be used directly as a controller. We apply this formalism to the modelling of a non linear mechanical load torque feature coupled to an induction machine in order to design a speed controller. A partial and a global neural method are presented. In order to overcome modelling errors or any process changes, an adaptive on line method is proposed. At last, simulation and experimental results are presented.