CAJ | 학술논문

针对定式变论域模糊控制精度不高，自适应能力有限，控制函数在遗传到后代时存在畸变而造成算法本身误差等问题，设计了一种基于双精度搜索算法的变论域模糊控制器。在基本万有引力算法全局搜索的同时，采用序列二次规划进行局部搜索避免算法陷入局部最优，提出具有“全局-局部”双重搜索机制的双精度搜索算法。在变论域模糊控制基础上提出了一种利用伸缩因子、等比因子相互协调来调整论域的构想，且通过双精度搜索算法来寻优参数，降低控制过程中的函数畸变，从而进一步改善控制器性能。对比实验表明DPSA在参数寻优中稳定性突出，控制器不但收敛速度快，且与其他控制方式相比，其精度和效果都有所提高。
침대정식변론역모호공제정도불고，자괄응능력유한，공제함수재유전도후대시존재기변이조성산법본신오차등문제，설계료일충기우쌍정도수색산법적변론역모호공제기。재기본만유인력산법전국수색적동시，채용서렬이차규화진행국부수색피면산법함입국부최우，제출구유“전국-국부”쌍중수색궤제적쌍정도수색산법。재변론역모호공제기출상제출료일충이용신축인자、등비인자상호협조래조정론역적구상，차통과쌍정도수색산법래심우삼수，강저공제과정중적함수기변，종이진일보개선공제기성능。대비실험표명DPSA재삼수심우중은정성돌출，공제기불단수렴속도쾌，차여기타공제방식상비，기정도화효과도유소제고。
Aiming at the low accuracy and poor adaptation of variable universe fuzzy control, and when the control function is inherited to the offspring, there usually exists some distortion which lead to the error of the algorithms. A variable-universe fuzzy control method based on double precision search algorithm is put forward. With the global optimal solution of basic gravitational search algorithm, sequential quadratic programming is employed as a local search method to avoid being trapped into local optimum. This paper presents a double precision search algorithm with“global-local”dual search mech-anism. Then the method adjusts the universe by the contraction-expansion factor and geometric proportional factors based on variable universe fuzzy control, and optimizes the parameters through double precision search algorithms to reduce the distortion of control function in the control process and improves the control performance. Comparative experiments show that the stability of DPSA is prominent in the parameter optimization. The controller results in desirable convergence speed. The accuracy and effect are even better than those of other control ways.