Robust Control Law Design for a Synchronous Motor Using Feedback Linearization Method

In this paper a combination of the feedback linearizing control technique and GloverMcFarlane control method is applied for the control of a synchronous motor. The use of feedback linearization requires the complete knowledge of the nonlinear system. In practice, there are many processes whose dynamics is very complex, highly nonlinear and usually incompletely known. To improve robustness, it may be necessary to modify the exact linearization controller. First, we apply the method of nonlinear control and state feedback linearization to synchronous motor model and we obtain a nonlinear control law. This law, aggregated with our nonlinear system, achieves input-output linearization and in the case of multivariable approach, the nonlinear control law achieves also decoupling. Then, Glover-McFarlane H∞ design is used with the goal of increasing robustness of the existing controller. Finally, some simulation results are included to demonstrate the performance of these controllers and the results are compared with the classical dq vector control.