摘要
针对航空相机快速返回定位问题,应用商空间理论提出了一种快速无超调定位模糊控制算法。将位置偏差量模糊化．并根据模糊等价关系合并正规峰集,从而得到了不同粒度下的控制规则．系统通过不断改变粒度,采用粗拉度粗调,细粒度细调的方法,实现快速无超调定位。在模拟相机平台上采用3个粒度层,通过模糊规则调整模糊输出和PID控制器的积分时间实现最速控制、模糊控制和PID控制在不同粒度下的转换．实验结果表明此算法具有定位快、稳定精度高以及无超调等优点．
In allusion to the problem of aerial camera＇s quick position, a fuzzy algorithm is presented, in which the system can realize quick localization and non-overshoot by using the quotient space theory. Position error is fuzzificated and regular peak sets are merged by the fuzzy equivalence relation, then control rules under different granularities can be obtained. Based on the position error, the system changes the granularity and adopts the method so that the parameters of the control system are roughly adjusted on the level of coarser granularity and conversely adjusted on the level of finer granularity. Three granularities are adopted on the simulated camera plane, and the plane can modify the output of fuzzy controller and variable of integration to realize the switching in time-optimal control, fuzzy control and PID control under granularities. Experimental results indicate that the algorithm has advantages of quick localization, high steady-state precision and non-overshoot.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2006年第B07期88-90,共3页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
模糊控制
商空间理论
航空相机
快速定住
fuzzy control
quotient space theory
aerial camera
quick position
