ADAPTIVE CONTROL OF PMSM SYSTEMS WITH CHAOTIC NATURE USING LYAPUNOV STABILITY BASED FEEDBACK LINEARIZATION

Chaos in motor systems is undesirable in real-time implementation because it results in motor speed oscillations changes in steady-state torque. This paper presents an adaptive control approach for time-varying permanent-magnet synchronous motor (PMSM) systems with chaotic behavior. We consider bounded perturbations in the system parameters. First, we transform the nonlinear PMSM model to derive a nominal linear control strategy. Then, we design an auxiliary control to compensate for real-time control errors due to parameter changes using Lyapunov stability theory. We, numerically simulate our PMSM controller and demonstrate its efficiency and reliability when compared to traditional controllers.