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

American Journal of Applied Sciences

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