Saenthon, Anakkapon

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Saenthon, Anakkapon
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Saenthon, A.
Saenthon, Anakapon
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anakkapon.sa@kmitl.ac.th

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    Item type:Publication,
    Genetic algorithm based fixed-structure H∞ loop shaping control of a buck-boost converter
    (2008-01-01)
    Olranthichachat, P.
    ;
    Saenthon, A.
    ;
    Kaitwanidvilai, S.
    H∞ loop shaping is a feasible method for designing a robust controller; however, the controller designed by this method is complicated and has high order. It is not easy to implement this controller in practice. To overcome this problem, we propose an algorithm, GA based fixed-structure H∞ loop shaping control, to design a robust controller. In the proposed technique, genetic algorithm is used to solve the H∞ loop shaping design problem under a structure specified controller. To compare performance, conventional H∞ loop shaping, proposed robust controller and conventional ISE method are investigated. Results of simulation demonstrate the advantages of a simple structure and robustness against plant perturbations and disturbances of the proposed controller. In this paper, the proposed technique is adopted to design a robust controller of a PCMC buck-boost converter. Experiments are performed to verify the effectiveness of the proposed technique. © 2008 IEEE.
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    A new edge detection technique for an automatic visual inspection system using genetic algorithms
    (2008-01-01)
    Saenthon, A.
    ;
    Kaitwanidvilai, S.
    ;
    Kunakorn, A.
    ;
    Ngamroo, I.
    ;
    Kanprachar, S.
    This paper proposes a new technique of edge detection for inspecting edge and perfection of soldering joint in the pre-amplifier circuit, which is an important part in hard disk drive. Summation of error between the actual value and the measured value from the designed system of several data sets is formulated as the objective function. Genetic Algorithm (GA) is adopted to find the optimal filter mask which enhances the accuracy of the inspection system. As results indicated, accuracy of the system with the proposed edge detection technique is superior to that of the system with conventional filters. In addition, inspection time of the developed system is much faster than that of human inspection. © 2008 IEEE.
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