American Journal of Applied Sciences | |
AUnique Novel Approach for Design and Analysis of A Robust Decentralized Self-Tuning Fuzzy PI Controller for a Multi Input Multi Output Process| Science Publications | |
N. K. Nair1  P. S. Therese1  | |
关键词: Fuzzy Logic Controllers (FLC's); Proportional Integral (PI); Membership Functions (MF's); Relative Gain Array (RGA); | |
DOI : 10.3844/ajassp.2012.331.336 | |
学科分类:自然科学(综合) | |
来源: Science Publications | |
【 摘 要 】
Problem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.Theyhave more than a singlecontrolled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, itis a difficult task because of the non stationary behaviour, substantial coupling of multiple variables and severe disturbances. Self tuning fuzzy control is a technique applied to controla MIMO process when the plant parameters are subjected to perturbations and when the dynamics of the systems are too complex for a mathematical model to describe. In this study,a decentralized self tuning fuzzy PI controller is designed for a Multi Input Multi Output Process. Results: The performances of the proposed STFPIC for the MIMO process are compared with fuzzy PI controller under both normal and under -10% deviation in time constant in termsof the performance measureIntegral Time Absolute Error (ITAE). Conclusion: The proposed STFPICfor the MIMO process shows remarkably improved performance than FPIC.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201911300839643ZK.pdf | 425KB | download |