2011 2nd Power Electronics, Drive Systems and Technologies Conference 2011
DOI: 10.1109/pedstc.2011.5742407
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Position sensorless direct torque control of Brushless DC motor drives based on sliding mode observer using NSGA-II Algorithm optimization

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Cited by 11 publications
(6 citation statements)
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“…Derivation may lead to significant computational error due to switching noises. Similar attempts have been presented in [26,27] where back-EMF components and in rotating dq reference frame have been estimated by the same way. To avoid errors and problems due to derivation, some researches have been suggested using of phase-locked loop (PLL) to calculate motor speed from estimated position that actually increases the order of dynamic equations of the observer [24,28].…”
Section: Review On Sensorless Controlmentioning
confidence: 81%
“…Derivation may lead to significant computational error due to switching noises. Similar attempts have been presented in [26,27] where back-EMF components and in rotating dq reference frame have been estimated by the same way. To avoid errors and problems due to derivation, some researches have been suggested using of phase-locked loop (PLL) to calculate motor speed from estimated position that actually increases the order of dynamic equations of the observer [24,28].…”
Section: Review On Sensorless Controlmentioning
confidence: 81%
“…This estimation technique is very important because the quality of the estimation directly impacts the performance of the overall control scheme. The majority of the previous techniques used sliding mode observers (SMOs) because they are robust to noise and parameter uncertainties [20][21][22][23][24][25][26][27][28]. Reduced order observers have been also used due to their computational efficiency and simpler structure [29].…”
Section: Related Workmentioning
confidence: 99%
“…The most popular estimation technique of the back‐EMF signals is theSMO technique because of its many advantages including good robustness to parameter uncertainty and variation, and low computational complexity, which in turn leads to fast convergence and dynamic response [26, 27]. The SMO technique uses currents and voltages expressed in the (αβ) frame.…”
Section: Proposed Hybrid Controllermentioning
confidence: 99%
“…Equation (22) (25) where λ is named the forgetting factor. Hence, B and Ĵ are estimated by (23)(24)(25). It can be seen in Fig.…”
Section: Mmras Speed Controllermentioning
confidence: 99%
“…The drawbacks of EKF are: noise influence, complicated configuration, and computation implementation adversity. In contrast, sliding mode observers' advantages, such as: being appropriate for piecemeal designing, being suitable for non-smooth systems, having firmness against parameters variation, converging in the shortest possible time, and reducing the observation error, has made it an efficient popular method [24]. Therefore, sliding mode observer is employed in the current study.…”
Section: Introductionmentioning
confidence: 99%