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In this paper, an adaptive decentralized control scheme with a rotor-flux observer is proposed for the tracking control of robot manipulators actuated by current-fed induction motors. To cope with all parametric uncertainties in the electromechanical systems, an adaptive law is designed so that all the signals of closed-loop systems are bounded, and the tracking errors in position, velocity and rotor fluxes converge to a residual set.

In view of the need for effective usage of the battery energy of the electric motorcycle, we propose un integrated management system, which not only accomplishes the objective of robust velociry tracking but also efficiently utilizes the stored energy of the battery. This integrated management system is divided into three major subsystems, including the power-saving controller, energy supervisor and protection subsystem. The concept of intelligent decision is applied such that the redundant energy loss can be avoided. At the end, simulation andexperimental results will be given to demonstrate the feasibirily and validity of the proposed integrated management system.

The paper proposes an adaptive speedposition tracking control of an induction motor subject to unknown load torque. The controller is developed based on a dynamic model obtained from the d-q-axis model (w.r.t. the stationary reference frame) of the motor under a special nonlinear coordinate transform so that either speed or position control objective can be fulfilled. The underlying design concepts is to endow the close-loop system with so-called maximal power transfer property while under lack of knowledge of some key system parameters, such as the rotor resistance, motor inertia and motor damping coefficient. To be rigorous, the proposed control scheme comes along with a thorough proof derived based on Lyapunov stability theory. The experimental results are also given to validate the effectiveness of the presented control scheme.