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The distributed estimation problem is one of the most essential issues in sensor networks. This paper studies the consensus estimation problem of linear sensor networks based on the distributed receding horizon estimation (RHE) scheme. To design such a consensus estimation scheme, a novel optimization problem is first formulated for each sensor node, by proposing a new consensus strategy. The explicit...
This paper introduces the nonlinear speed control scheme for a permanent magnet synchronous motor (PMSM) drive. Based on the designed nonlinear sliding-mode control tracking a linear reference model, the adaptive backstepping control approach is utilized to derive the control scheme, which is robust to the mismatched parameter uncertainties and load torque disturbance. With the proposed control, the...
This paper investigates a nonlinear speed control scheme for a brushless DC motor (BLDC) drive. In order to achieve high performance speed tracking, an adaptive backstepping controller is designed to obtain the reference voltage for the pulse width modulation (PWM) control which does not require the traditional PI controller. To regulate the dynamics of the drive system, the proposed controller is...
The paper focuses on a model reference adaptive system (MRAS) speed identification of permanent magnet synchronous motor (PMSM) using the sliding mode approach. The new MRAS algorithm is based on the error between the outputs of flux linkage-current model and flux linkage-voltage model. Then, the error is used to estimate rotor speed by a suitable adaptation mechanism. Moreover, the sliding mode technique...
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