| Summary: | 碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 98 === Particle swarm optimization (PSO) is a newly developed optimization method which can be used to solve some complex problems especially in mechanical design, and has obtained some satisfactory results. This paper aims to apply the particle swarm optimization algorithm to study the path synthesis of the planar four-bar linkage mechanism. By setting the minimum deviation of square sum between the specified coupler points of the planar linkage and the generated coupler points, we obtain an objective function. We use the length and angles of linkage bars as our design variables and minimum transmission angles and some particular triangular geometry conditions as our constraints. It is shown successfully to simulate the coupler curves with the aid of the ADAMS/View software, showing that our mechanism design theory is suitable and effective. This not only improves the mechanism design problems but also broadens their applications. In our paper, we propose a hybrid particle swarm optimization (HPSO), which combines the classical PSO with the crossover elements, and is aimed to avoid the solutions being trapped in local optima. We present and compare the numerical results with that of the classical PSO, the genetic algorithm (GA) and gradient method. It is found that our HPSO algorithm is better than the classical PSO, GA and gradient method in both the convergence rates and solution accuracy.
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