Fuzzy Logic Control Based DTC-SVM Adaptive Stator Flux Observer For Induction Motors

Fuzzy Logic Control Based DTC-SVM Adaptive Stator Flux Observer For Induction Motors
Authors:C. ASHOK KUMAR, S. UMA MAHESWARI, C. SUBBA RAMI REDDY

Abstract: A combination of Direct Torque Control (DTC) and Space Vector Modulation (SVM) for an Induction Motor (IM) drive is defined in this paper. A two-level SVPWM inverter is delivered to the induction motor drive. Using IM model in the stator D-Q axes reference frame. The inverter voltage is achieved based on input- output feedback linearization control. This paper signifies a Fuzzy Logic Controller (FLC) for the proposed system. The inputs to the fuzzy logic controller are the variables of speed error and change of speed error whereas the output is change in switching torque. The effectiveness and validity of the proposed control approach, attained from the variable methods those are DTC-SVM and FUZZY LOGIC CONTROL are compared by simulation results. 

Keywords: Direct Torque Control (DTC), Adaptive Stator Flux Observer Feedback Linearization, Robust, Space Vector Modulation, And Fuzzy Logic Control. 

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Personalized QoS Ranking Prediction Framework for Cloud Services

Personalized QoS Ranking Prediction Framework for Cloud Services
Authors:A. AMARESWARI, S. SIVASKANDHA, CH. RAJAKISHORE

Abstract: Building prime quality cloud applications become associate degree in real time needed analysis downside in cloud computing technology. Non-functional performance of cloud services is often represented by Quality of Service (QoS). To accumulate QoS values, real-world usage of services candidates are typically needed. At this time, there\'s no framework that may permit users to estimate cloud services and rank them supported their QoS values. This paper intends to framework and a mechanism that measures the standard and ranks cloud services for the users. Cloud Rank framework by taking the advantage of past service usage experiences of different users. So it will avoid the time overwhelming and dear world service invocation. This man oeuvre determines the QoS ranking directly mistreatment the two customized QoS ranking prediction approach i.e., CloudRank1 and CloudRank2. These algorithms certify that the active services are accurately satisfied. The inside purpose is ranking prediction of consumer facet QoS properties, that doubtless have completely different values for dissimilar users of the similar cloud service. It estimates every and each one the someone services at the user-side and rank the services supported the discovered QoS values.

Keywords: Quality of Service (QoS).

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Optimal Route Query Processing on Temporal Constraints Using BFS Algorithm

Optimal Route Query Processing on Temporal Constraints Using BFS Algorithm
Authors:E. SREEJA, N. SANDEEP CHAITANYA

Abstract: Given a set of spatial believability DS, commemoration of which is connected with total data, e.g., restaurant, pub, and so forth, the ideal boulevard concern finds the shortcut path that begins from the worry, and spreads a client detailed set of classes. The client should determine fragmentary conformity stipulations in the midst of modified classes, e.g., a restaurant must be gone by before a pub. Past arrangement has concentrated on a fitting case zone the worry contains without a doubt the change of all classifications to be gone to. What's more, we quarrel how the proposed strategies can be acclimatized to affirmation an option of the ideal boulevard inquiries, in which the course just needs to canopy a subset of the acclimated classifications. Broad investigations, application both outright and built modified works sets, avow that the proposed arrangements are capable and reasonable, and beat supreme systems by abundant edges. 

Keywords: Computations, Significant, Acknowledgement


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