摘要
基于智能组织系统及专家系统和自组织模糊逻辑研究了仿人智能控制系统。采用了递阶型智能控制，其中第一层是执行级，采用定性定量控制律；第二层是参数调整器，由Ｆｕｚｚｙ参数调整器实现控制，具有系统特征状态的自识别能力。控制决策仅与系统的控制误差及变化有关。系统采用分段变结构控制，增加了系统的适应力，使其获得最佳控制效果。满足了对实时性、适应性和鲁棒性等方面的要求。
This paper studies the imitation of human intelligence controller based on the intellect organizing system,the expert system and the self-organizing fuzzy logic.It employsa hierarchical intellect control system,in which the first is execution layer that employs qualitative-quantitative measurement,the second is parameter adjusting layer that employs fuzzy parameter adjusting.The system has the characteristics of correspondence identifying ability to system feature status.Control decision is only related to control error and change.The system imitates expert to control with staged and variable structure,which enhances the adaptability of system and obtains the best control results.It meets the requirement of updating,adaptability and robust.
基金
国家自然科学基金
