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A Multimodel Based Range Query Processing Algorithm for Information Collection in CPS (2015)

Guilin Li, Xing Gao, Longjiang Guo, Jun; Cong Lin, Ying Gao, and Minghong Liao

Hindawi

In: International Journal of Distributed Sensor Networks

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Publication Date: 2015-08-31

Description: A multimodel based range query processing algorithm is proposed to solve the information collection task for the CPSs, which utilizes multiple probability models to depict the data distribution of a sensor node. The execution of the multimodel based algorithm consists of two phases, which are the preprocessing phase and the query processing phase. During the preprocessing phase, multiple models are constructed for each node according to their historical data. During the query processing phase, a suitable model is selected from the multiple models with the help of a sampling based algorithm, which is used to process the query. As the multimodel based algorithm needs to sample data from the network, it can waste energy more than that of the single model based algorithm in some cases, which does not sample data from the network. The cost of the multimodel based and single model based algorithm is analyzed. A cost model based algorithm is proposed to select a better algorithm to process a query from the two algorithms. Experimental results show that the cost model based algorithm can save 13.3% energy consumption more than that of the single model based algorithm.

Print ISSN: 1550-1329

Electronic ISSN: 1550-1477

Topics: Electrical Engineering, Measurement and Control Technology

Published by Hindawi

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Inverse System Analysis and Modeling of Bearingless Induction Motor and Its Combined Control Strategy (2014)

Wen-shao Bu, Cong-lin Zu, and Chun-xiao Lu

Hindawi

In: Mathematical Problems in Engineering

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Publication Date: 2014-12-01

Description: Bearingless induction motor is a multi-variable, nonlinear and strong coupling object, the existing inverse control method ignores the stator current dynamics of torque system. Aiming at its nonlinear and strong coupling problems, a novel combinatorial decoupling control strategy based on stator flux orientation and inverse system method is proposed. Taking the stator current dynamics of four-pole torque system into account, the reversibility and inverse system model of torque system are analyzed and established. Adopting the inverse system method, the dynamic decoupling between motor speed and stator flux-linkage is achieved; by online identification and calculation, the airgap flux-linkage of torque system is got. Based on above, feedback and compensation control of two radial displacement components of two-pole suspension system is realized. Simulation results have shown the higher decoupling control performance and stronger anti-interference ability of the decoupling control system; the proposed decoupling strategy not only owns the characteristics of be simple and convenient, but also is effective and feasible.

Print ISSN: 1024-123X

Electronic ISSN: 1563-5147

Topics: Mathematics , Technology