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Modeling and control of an unstable system using probabilistic fuzzy inference system

Sozhamadevi N., Sathiyamoorthy S.

Archives of Control Sciences

2015

Vol. 25, no. 3

377--396

A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model and minimizes the effects of statistical uncertainties. The blend of two different concepts, degree of truth and probability of truth in a unique framework leads to this new concept. This combination is carried out both in Fuzzy sets and Fuzzy rules, which gives rise to Probabilistic Fuzzy Sets and Probabilistic Fuzzy Rules. Introducing these probabilistic elements, a distinctive probabilistic fuzzy inference system is developed and this involves fuzzification, inference and output processing. This integrated approach accounts for all of the uncertainty like rule uncertainties and measurement uncertainties present in the systems and has led to the design which performs optimally after training. In this paper a Probabilistic Fuzzy Inference System is applied for modeling and control of a highly nonlinear, unstable system and also proved its effectiveness.

Genetic Algorithm for the coordination of wind thermal dispatch

Dhayalini K., Sathiyamoorthy S., Rajan C. C. A.

Przegląd Elektrotechniczny

2014

R. 90, nr 4

45--48

In this paper Genetic Algorithm (GA) is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost in the economic dispatch considering wind power generation and valve effect of thermal units. To demonstrate the effectiveness of the proposed approach, the numerical simulation have been performed for two different test systems with and without wind power production. Simulation result shows the effect of wind power generation in reducing total fuel cost.

W artykule przedstawiono wykorzystanie algorytmu genetycznego do koordynacji rozsyłu energii pochodzącej od elektrowni wiatrowych i cieplnych. Przeprowadzono symulację numeryczną dla dwóch różnych systemów w skład których wchodziły lub nie jednostki wiatrowe.