基于模糊逻辑控制的反应釜温度控制系统 外文文献翻译（英译汉）.docVIP

外文文献 Fuzzy Control System for CSTR Temperature Control MOLOY DUTTA,VAIBHAV BAPAT,SCACHIN SHELAKE,TUSHAR ACHYUT PROF.A.D.SONAR ABSTRACT Closed loop control system incorporating fuzzy logic has been developed for a class of industrial temperature control problem. A unique fuzzy logic controller (FLC) structure with an efficient realization and a small rule base that can be easily implemented in existing industrial controllers was proposed .It was demonstrated in both software simulation and hardware test in an industrial setting that the fuzzy logic controller (FLC) is much more capable than the current temperature controller. This includes compensating for thermo mass changes in the system, dealing with unknown and variable delays, operating at very different temperature set points without returning etc. It is achieved by implementing, in FLC, a classical control strategy and an adaptation mechanism to compensate for the dynamic changes in the system. The proposed FLC was applied to temperature control of continuously stirred tank reactor (CSTR) and significant improvements in the system performance are observed. INTRODUCTION While modern control theory has made modest inroad into practice, fuzzy logic control has been rapidly gaining popularity among practicing engineers. This increased popularity can be attributed to the fact that fuzzy logic control provides a powerful vehicle that allows engineers to incorporate human reasoning in the control algorithm. As opposed to modern control theory, fuzzy logic design is not based on the mathematical model of the process. The controller designed using fuzzy logic implements human reasoning that has been programmed into fuzzy logic language (membership functions, rule and the rule interpretation). It is interesting to note that the success of fuzzy logic control is largely due to awareness to its many industrial applications. Industrial interests in fuzzy logic control as evidenced by the many publications on the subject i