Research On Parameter Identification And Self-tuning Control System Of Induction Motor

At present, AC servo control system gradually occupies a dominated position in the field of servo control. AC motors, especially induction motors, are widely used in servo control systems. Therefore, research on high performance control of induction motors is of great importance. In such control systems, the inertia J of load is usually much larger than that of the motor rotor, thus a variation of the load may cause a significant influence on system dynamic performance. This paper combines parameter identification with self-tuning control to propose a control strategy for variable load inertia.In this paper, an improved recursive least-square method is introduced. As is known, the forgetting factor of the RLS algorithm is hard to set. Here the problem is solved by introducing a particular detection unit which can gather quick feedback from the identification results. When the results deviate from the steady value, the unit re-initializes the identification system to avoid long delays causing by the old data.With some proper assumptions, the speed loop of the double closed-loop control can be simplified as a typical type-â…¡ system. According to the classical control theory and the manner of engineering, it is reasonable to consider the scale factor and the integral factor of speed loop have a linear relationship with the moment of inertia. With the identification results of the instant inertia, the performance of self-tuning control is improved.dSPACE can be used in rapid control prototype simulation and in contrast with microchips, it makes debugging easier and also speeds the development time. All the theories proposed in this paper have been tested by simulations or experiments based on Simulink and dSPACE. The experimental results validate the effectiveness of the proposed theory.