Standaard Boekhandel gebruikt cookies en gelijkaardige technologieën om de website goed te laten werken en je een betere surfervaring te bezorgen.
Hieronder kan je kiezen welke cookies je wilt inschakelen:
Technische en functionele cookies
Deze cookies zijn essentieel om de website goed te laten functioneren, en laten je toe om bijvoorbeeld in te loggen. Je kan deze cookies niet uitschakelen.
Analytische cookies
Deze cookies verzamelen anonieme informatie over het gebruik van onze website. Op die manier kunnen we de website beter afstemmen op de behoeften van de gebruikers.
Marketingcookies
Deze cookies delen je gedrag op onze website met externe partijen, zodat je op externe platformen relevantere advertenties van Standaard Boekhandel te zien krijgt.
Je kan maximaal 250 producten tegelijk aan je winkelmandje toevoegen. Verwijdere enkele producten uit je winkelmandje, of splits je bestelling op in meerdere bestellingen.
The Proportional Integral Derivative (PID) controller is one of the most common type of feedback controllers used in dynamics systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics and automation. In this book a comparison has been made between the performances of PID controllers used in various industries and that of its fuzzy model. To achieve this goal, real time data was collected from different PID controllers used in various industries for measurement of temperature, pressure, flow and level at various positions in process. On the bases of this collected data, a fuzzy model has been developed for each PID controller. The fuzzy logic based controller has been implemented by taking error and change in error as the inputs and incorporating the IF-THEN rules. On the bases of the rule-base a fuzzified output was obtained. Finally, a comparison has been made between the performance of PID controller and that of its fuzzy model.