CAJ | 학술논문

云模型控制理论是智能控制学科的新兴领域，因此如何扩展云模型的应用范围并使其走向工程化实用化成为云模型理论的研究重点。针对船舶运动模型具有不确定性和外部扰动随机性等特点，而云模型具有兼顾模糊性和随机性的特质，尝试将云模型应用于船舶动力定位的控制过程。为解决云模型控制器参数难以整定的问题，提出基于自适应粒子群优化算法的云模型控制器设计方法。仿真试验证明了云模型控制和粒子群优化的可行性和有效性。
운모형공제이론시지능공제학과적신흥영역，인차여하확전운모형적응용범위병사기주향공정화실용화성위운모형이론적연구중점。침대선박운동모형구유불학정성화외부우동수궤성등특점，이운모형구유겸고모호성화수궤성적특질，상시장운모형응용우선박동력정위적공제과정。위해결운모형공제기삼수난이정정적문제，제출기우자괄응입자군우화산법적운모형공제기설계방법。방진시험증명료운모형공제화입자군우화적가행성화유효성。
Cloud model control theory is emerging field in the intelligent control subject, consequently the research on it focuses on enlarging its application and making it be engineering and practical. As the ship motion model contains uncertainty and random external disturbance and cloud model can take full account of fuzziness and randomness, tried to apply the cloud model to the dynamic positioning control process. An improved one-dimension cloud model controller ( CMC) based on adaptive particle swarm optimization (APSO) algorithm was proposed to overcome the difficulty in parameters regulation of cloud model controller. Simulation results verify that the designed cloud model controller and particle swarm optimization are feasible and effective.