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This paper presents a model-based fault detection approach for induction motors. A new filtering technique using Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF) is utilized as a state estimation tool for on-line detection of broken bars in induction motors based on rotor parameter value estimation from stator current and voltage processing.… (More)
In this paper a model-based fault detection method for induction Motors is presented. A new filtering technique based on Unscented Kalman filters and Extended Kalman filters, is utilized as a state estimation tool in broken bars detection of induction motors. Using the merits of these recent nonlinear estimation tools UKF and EKF, rotor resistance of an… (More)
In this paper, a new tracking control structure is proposed to decrease the time-delay effect of tracking sensor. To achieve this purpose, an angular position sensor, which generally exists in tracking systems, is used together with the tracking sensor. Also, a compensator is designed and applied to a system with time-delay in order to obtain a behavior… (More)
In this paper, a new turn function for skewed rotor bars based on winding Function approach is presented. This approach has been used for simulating the machine behavior under healthy and broken rotor conditions. Proposed method is applied for rotor bars fault detection based on an advanced Park's vectors approach.
In this paper, a new hybrid approach based on hierarchical gradient based control and Shuffled Frog Leaping optimization algorithm (SFLA) is presented for optimal control of large-scale systems. In this approach, the large-scale system is decomposed into smaller subsystems and then solved separately at the first level. Afterward at the second level, a… (More)