基于柔性逻辑的智能控制器设计与仿真

Study on Intelligent Control Model Based on Flexible Universal Logics

研究倒立摆复杂系统优化控制问题,传统优化控制要建立精确数学模型,但与实际不符。对复杂系统采用具有认知和仿人功能、适应不确定环境等特性的智能控制方法较传统控制方法更具优势。为此,提出一种柔性泛逻辑学的智能控制模型,具有三个典型参数(e、h、k),分别反映了控制过程中的决策门限、被控量之间的关系和测量误差,能更好地掌握控制的思路。对三级倒立摆的控制采用上述方法进行仿真,实验证明了模型的正确性和有效性,并且具有良好的抗干扰能力,为复杂系统控制寻求了一种新的有效途径。

For the control of the complex system such as the inverted pendulum, the intelligent control methods with the functions of cognition and imitating human and adapted uncertain environment have great advantages than the tranditional ones. A new intelligent control model based on the flexible univsal combination model was proposed. The control model has three typical parameters, namely e, h and k, which denote the decision threshold, the relationship between the controlled varialbes and measurement error during the procedure of control and decision respectively, and can simulate the human＇s control methods better. The simulation experiments for the three - order inverted pendulum prove the validily of proposed method. And the control system has good abilities of anti - jamming, This provides a new way for the control of the complex system.