In this study, a double-sided, 12/8 poled, 3 phased Linear Switched Reluctance Motor (LSRM) designed, manufactured and its velocity simulated by fuzzy logic control. Motor power is about 900 W. LSRM drive applied to a prototype elevator. LSRM motion distance is 2000 mm and it having about 500 N propulsion force used in locations such as elevators where linearly moving accurate position, easy control and rapid response are requested. Its operation and switching sections as motor and generator are determined and the simulation of fuzzy logic and PI speed and position control are simulated. Reference velocity is constant during the accelerating and decelerating. As a different, reference velocity is variable depended to position and time. The velocity of translator was controlled versus to position by Fuzzy Logic Control (FLC) and PI control techniques. Velocity and velocity error signals of translator separately were compared the simulation results PI and FLC techniques. It is concluded that the designed motor in the simulation according to the values determined values may be used in elevator as a driver.
PL
W pracy przedstawiono projektowanie, budowę oraz sterowanie z użyciem logiki rozmytej podwójnego, trójfazowego liniowego silnika reluktancyjnego przełączalnego (LSRM). Silnik LSRM zastosowano do budowy prototypu windy. Moc badanego silnika wynosiła około 900W, posiadał on zakres ruchu 2000 mmm i około 500 N siły napędowej. Ze względu na liniowy ruch, możliwość ustalenia dokładnej pozycji, prostego sterowania i możliwości szybkiego reagowania zaproponowano zastosowanie omawianego napędu w takich urządzeniach jak windy. Działanie napędu było realizowane zarówno w rzeczywistym prototypie, jaki i symulowane, z wykorzystaniem logiki rozmytej i regulatora PI kontrolującego prędkość i pozycję. Wyniki pomiarów porównano z wynikami symulacji.
This paper presents an integrated evaluation approach for decision support enabling effective supplier selection and ordering processes in textile industry. The integrated evaluation method in this study includes two phases that consist of fuzzy AHP and goal programming approaches. Supplier evaluation and selection is a multi-criterion decision problem which includes both qualitative and quantitative factors. That’s why; firstly, linguistic variables expressed in trapezoidal fuzzy numbers are applied to assess weights and ratings of supplier selection criteria. Then a hierarchy multiple model based on fuzzy set theory is expressed and the geometric mean method of Buckley is used to aggregate pair wise comparisons. Finally, a goal programming model is built using the goals about coefficients of suppliers, total ordering cost, number of wrong deliveries, total delivery cost under the constraints of required minimum and maximum number of orderings and acceptable quality cost levels of each supplier and demand constraint of the product.
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