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Abstract-This brief presents an adaptive variable structure identifier that provides finite time convergent estimate of the induction motor rotor resistance under feasible persistent of excitation condition. The proposed rotor resistance scheme is based on the standard dynamic model of induction motor expressed in a fixed reference frame attached to the stator. The available variables are the rotor speed, the stator currents and voltages. Experiments show that the proposed method achieved very good estimation of the rotor resistance which is subjected to online large variation during operation of the induction motor. Also, the proposed online simplified rotor resistance estimator is robust with respect to the variation of the stator resistance, measurement noise, modeling errors, discretization effects and parameter uncertainties. Important advantages of the proposed algorithm include that it is an online method (the value of can be continuously updated) and it is very simple to implement in real-time (this feature distinguishes the proposed identifier from the known ones).Index Terms-Equivalent injection term, nonlinear observer, online parameter estimation.

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This article provides a solution for the control of multi-terminal DC networks from the point of view of the network's transmission system operator (TSO), which includes local, primary, and secondary controllers. A new power flow technique is validated for this approach, which guarantees the stability and requires fewer calculations than conventional techniques. This study also describes an optimal control strategy for intermittent (renewable) energy producers, where the controller periodically transmits information about its state to the system operator. Its main goal is to optimize economic profit for the producer. This last controller is implemented via Model Predictive Control (MPC). The whole control strategy is validated in a scaled DC grid test-bench with 4 nodes. Real solar production (5 kW rated power), a storage system, as well as short-term weather and consumption forecasts are also included.