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Optimization of Sensor Structural Parameters and Image Reconstruction for Electrical Capacitance Tomography SCOPUS

Gao Ming, Chen Deyun, Wang Lili, Yu Xiaoyang

보안공학연구지원센터(IJCA) International Journal of Control and Automation Vol.8 No.1 2015.01 pp.55-68

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Sensitivity field distribution of the sensor in ECT system is affected by the distribution of the mixture, The "soft field" property of sensitive field bring great difficulty in image reconstruction, on the basis of analyzing capacitance tomography sensitive mechanism, by analyzing that sensor structure parameters in ECT system have influence on the uniformity of the sensitive field, this paper proposed a structural parameters optimization algorithm based on the ant colony algorithm. The algorithm first determines the parameter optimization design evaluation function, and then rapidly identifies several suboptimal paths by using particle swarm optimization and initializes the pheromones in the path, Ant colony algorithm finds the optimal solution according to the initialization pheromones and using the characteristics of rapid convergence. The experimental results show that, compared with the orthogonal algorithm, the performance of the sensor designed by using the structure parameters obtained by ant colony optimization algorithm is obviously improved, Alleviate the difficulty of data acquisition circuit design and improve the accuracy and uniformity of the sensitive field, the quality of image reconstruction is improved, the relative error of image reconstruction is reduced.

 
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