Abstract In this paper a comparative study was carried out to evaluate the realtime performance of fuzzy proportionalintegral plus fuzzy proportionalderivative Fuzzy PI Fuzzy PD controller with the

Presentation on theme: "Abstract In this paper a comparative study was carried out to evaluate the realtime performance of fuzzy proportionalintegral plus fuzzy proportionalderivative Fuzzy PI Fuzzy PD controller with the"— Presentation transcript:

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Abstract- In this paper, a comparative study was carried out to evaluate the real-time performance of fuzzy proportional-integral plus fuzzy proportional-derivative Fuzzy PI + Fuzzy PD controller with the real-time performance of Conv entional PI for a liquid-level process experiment. The process co nsidered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control valve. NATIONAL INSTRUMENTS™ based hardware and software tools (LabVIEW™) were used for precise and accurate acquisition, measurement and control. The real time implementation of

the Fuzzy PI + Fuzzy PD controller was carried out in two configurations: namely, feedback and cascade. In cascade control configuration Fuzzy PI + Fuzzy PD controller was implemented in the primary loop. The secondary loop was tuned using the conventional PI controller. It was evaluated that Fuzzy controller perform better in comparison with conventional controller in both the feedback and cascade control configurations. Index Terms Fuzzy PI + Fuzzy PD, PID, Cascade Control. Process Control. 1. NTRODUCTION in real time. INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS VOL. 13, NO. 2,

JUNE 2008, 89-96
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2. AMILIARIZATION WITH THE ROCESS 2.1 Process Control Unit 2.2 Control Valve 90 INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS, VOL. 13, NO. 2, JUNE 2008
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2.3 Data Acquisition 2.4 Transducer 3. ASCADE ONTROL OOP 4. UZZY PI UZZY PD ONTROLLER PID C D de t utKet etdt dt et et rt rt yt PID ut PID C S D IS ek ek ukKek eiT ek ek ek 4.1 Fuzzy PI Controller PI C ut Ket etdt Kumar et al: Real-Time Performance Evaluation of a Fuzzy PI + Fuzzy PD Controller for Liquid-Level Process 91
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PI du t dt Ket dt dt PI PI SSI uk uk ek ek

ek TT PI C uk K ek ek ' ' PI C uk Kek ek ' ' ek ek ek ' PI PI PI uk uk uk ' SPI PI PI Tu uk uk ' SPI PI PI Tu u k zu k ' SPI PI Tu k zu k ' PI PI uk uk ' UPI PI PI uk uk ' 4.2 Fuzzy PD Controller PD C D de t ut Ket dt PD C D ek ek uk Kek PD C D uk Kek ek ' PD C C D uk KekK ek ' ek ek ek ' 4.3 Combination of Fuzzy PI +Fuzzy PD Controller PID PI PD ukukuk UPI PID PI PD uk ukuk ' 4.4 Fuzzy PI +Fuzzy PD Controller in cascade loop 5. RE -R EQUISITES OR ESIGN F FLC 5.1 Fuzzification 92 INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS, VOL. 13, NO. 2, JUNE 2008
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ek ek PID uk 5.2 Rule Base ek 5.3 Fuzzy Inference Engine min max 5.4 Defuzzification 6. EAL IME ESULTS 6.1 Performance criterion peak of overshoot 6.2 Settings Used Kumar et al: Real-Time Performance Evaluation of a Fuzzy PI + Fuzzy PD Controller for Liquid-Level Process 93
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set-point disturbance 6.3 Results of Feedback Configuration 6.3.1. Fuzzy PI +Fuzzy PD Controller Response 6.3.2. Conventional PI Controller Response 6.3.3. Comparison of Fuzzy and Conventional controller real time results for Level system (Feedback) 6.4 Results of Cascade Control Configuration 6.4.1.

Fuzzy PI +Fuzzy PD Controller Response Primary loop (Fuzzy Controller): Secondary loop (Conventional PI controller): 6.4.2. Conventional PI Controller Response Primary loop (conventional PI controller): Secondary loop (conventional PI controller): 6.4.3. Comparison of Fuzzy and Conventional controller real time results for Level system (Cascade) 94 INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS, VOL. 13, NO. 2, JUNE 2008
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7. ONCLUSIONS CKNOWLEDGEMENT EFERENCES Proc. of UKACC Intern. Conference on Control IEEE Trans. Syst., Man, Cybern. B IEEE Trans. Syst., Man,

Cybern. B , , , Intelligent Systems and Soft Computing for Nuclear Science and Industry Kumar et al: Real-Time Performance Evaluation of a Fuzzy PI + Fuzzy PD Controller for Liquid-Level Process 95
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Vineet Kumar K.P.S Rana 96 INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS, VOL. 13, NO. 2, JUNE 2008