基于生物适应对策的Type-2模糊控制  

Type- 2 Fuzzy Control Based on Biological Adaptation Strategies

作　　者：赵彤[1] 钱冰冰[1] 李医民[2] 

机构地区：[1]南通航运职业技术学院基础教学部,江苏南通226010 [2]江苏大学理学院,江苏镇江212013

出　　处：《控制工程》2013年第6期1198-1202,共5页Control Engineering of China

基　　金：国家自然科学基金资助项目(11072090)

摘　　要：复杂系统在外界干扰下的稳定性很差,而生态系统因自身的自适应特性,在外界干扰下仍能保持稳定状态。针对一类非线性系统,利用生物个体对环境变化的适应对策,将生物的自适应机理嵌入到模糊控制器的设计中,将模糊规则前件取为生物生态因子的"耐受"范围,用Type-2模糊集合表示,将规则后件取为生物个体由实际生态位向理想生态位转化的动态过程,用贴近度函数表示,建立的模糊控制器具有生物自适应特性。通过自适应率的设计及参数的在线实时调整,保证了系统的稳定性和收敛性。并通过对肌型血管系统的仿真,验证了Type-2控制器的控制效果优于Type-1控制器,具有更强的抗干扰性。Under external disturbance, the stability of complex system is very poor. However, the ecological system can still remain in a stable condition under the outside interference because of its adaptive features. In the paper, aiming at a class of nonlinear systems, the adaptive mechanism of organism is added to the design of the fuzzy control system, based on the adaptive countermeasures of the in- dividual organism adapting to the environment changes. The fuzzy rules front is selected as the ＂tolerance＂ of biological ecological fac- tors, which is represented by type - 2 fuzzy＂ set. The rules rear is chosen as the dynamic process from the actual niche to ideal niche for individual organisms, which is represented by degree function. The constructed fuzzy controller has the biological adaptive features. Through the adaptive rate design and the adjustment of parameter online in real time, it ensures the system stability and convergence. Through the simulation of the muscle blood vessel system, it is verified that the effectiveness of the type - 2 controller is better than type - 1, which has the stronger anti - interference.

关 键 词：模糊逻辑 生态位 贴近度 自适应模糊控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]