Hybrid intelligent control scheme for air heating system using fuzzy logic and genetic algorithm
Fuzzy logic provides a means for converting a linguistic control strategy, based on expert knowledge, into an automatic control strategy. Its performance depends on membership function and rule sets. In the traditional Fuzzy Logic Control (FLC) approach, the optimal membership is formed by trial-and-error method. In this paper, Genetic Algorithm (GA) is applied to generate the optimal membership function of FLC. The membership function thus obtained is utilized in the design of the Hybrid Intelligent Control (HIC) scheme. The investigation is carried out for an Air Heat System (AHS), an important component of drying process. The knowledge of the optimum PID controller designed, is used to develop the traditional FLC scheme. The computational difficulties in finding optimal membership function of traditional FLC is alleviated using GA In the design of HIC scheme. The qualitative performance indices are evaluated for the three control strategies, namely, PID, FLC and HIC. The comparison reveals that the HIC scheme designed based on the hybridization of FLC with GA performs better. Moreover, GA is found to be an effective tool for designing the FLC, eliminating the human interface required to generate the membership functions.
- Research Organization:
- Crescent Engineering Coll., Madras (IN)
- OSTI ID:
- 20082157
- Journal Information:
- Drying Technology, Journal Name: Drying Technology Journal Issue: 1-2 Vol. 18; ISSN DRTEDQ; ISSN 0737-3937
- Country of Publication:
- United States
- Language:
- English
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