Chaos synchronization and parameters identification of single time scale brushless DC motors

Chaos synchronization and parameters identification of single time scale brushless dc motors are studied in this paper. In order to analyze a variety of periodic and chaotic phenomena, we employ several numerical techniques such as phase portrait, bifurcation diagram, and Lyapunov exponents. By the adaptive control, the improved backstepping design method, the Gerschgorin theorem, and by addition of a monitor, chaos synchronization of two identical BLDCM systems are presented. Then, by the adaptive control, and the random optimization method, parameters identification is approached.