Fuzzy Predictive Control of Air Compressor System

摘要：

Conventional PID is difficult to satisfy the high principles requirement on an Air Compressor as controlled object because of its delay and nonlinear features. The FIR model of Air Compressor System was built based on fuzzy predictive control theory, which selected the outlet pressure as a fuzzy premise variable and tuned by the operating rules. The result of step disturbance simulation experiment showed several advantages, such as good adaptability and adjusting online easily.

关键词： Air Compressor System Fuzzy Predictive Control Model Identification FIR Model

作者: Keping Liu Xuesheng Feng Min Yang Chonghe Tang Changhong Jiang

作者单位: College of Electrical & Electronic Engineering Changchun University of Technology Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 344-347

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）