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Author: search.filters.author.Olranthichachat, PiyapongSubject: search.filters.subject.H∞ loop shaping

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    Enhancing the performance of fixed-structure robust loop shaping control using genetic algorithm approach
    (2011-07-26)
    Olranthichachat, Piyapong
    ;
    Kaitwanidvilai, Somyot
    This paper is proposed an algorithm, Genetic Algorithm (GA) based fixed-structure H<inf>∞</inf> loop shaping control, to the problem-solving of conventional H<inf>∞</inf> loop shaping, such as high-order and difficult to be usable in general. In this approach, a structure of controller is specified combine H<inf>∞</inf> loop shaping method is solved by GA algorithm. Additionally, in the proposed technique, the desired performance weighting function, which is defined by using GA. The performance and robustness of the proposed controller are investigated in a pneumatic servo system in comparison with that of the controller designed by conventional H <inf>∞</inf> loop shaping. Results of simulation demonstrate the advantages of simple structure and robustness against plant perturbations and disturbances of the proposed controller. Experiments are performed to verify the effectiveness of the proposed technique.
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    Robust loop shaping control for designing high performance ACMC DC-DC converter
    (2010-12-01)
    Kaitwanidvilai, Somyot
    ;
    Olranthichachat, Piyapong
    DC-DC converter is an important circuit in Micro-grid system. To design a high performance and robust controller for this circuit, H infinity loop shaping gains increasing attention in the controller design. Being complex and high-order, robust controllers designed by H<inf>∞</inf> loop shaping are difficult to implement in practice. To overcome this problem, an algorithm, Particle Swarm Optimization (PSO) based fixed-structure H<inf>∞</inf> loop shaping control, has been proposed to design a robust controller. PSO algorithm is used to solve the H<inf>∞</inf> loop shaping design problem under a structure-specified controller. Additionally, in the proposed technique, the performance weighting function, which is normally difficult to obtain, is determined by the PSO. Simulations are performed to verify the effectiveness of the proposed technique.