Саноатда рақамли технологиялар 3-jild 4-son (2025) · 250-253-betlar
FUZZY LOGIC CONTROL IN ROBOT MANIPULATORS: A COMPARATIVE ANALYSIS WITH BOOLEAN LOGIC
Egamberdiev, Azimjon Abdurasulugli, Djuraev, Sherzod Sobirjonovich, Эгамбердиев, Азимжон Абдурасулугли, Джураев, Шерзод Собиржонович, Egamberdiyev, Azimjon Abdurasulo‘g‘li, Jo‘rayev, Sherzod Sobirjonovich
Annotatsiya
Robot manipulators encounter significant control challenges stemming from nonlinear dynamics, parametric uncertainties, and external disturbances. While Boolean logic-based controllers operate through precise binary thresholds, fuzzy logic control utilizes linguistic rules and graded membership to emulate human decision-making. This paper examines both control paradigms, detailing theoretical foundations and practical implementation for a 2-DOF manipulator. Quantitative comparisons reveal fuzzy logic’s superior adaptability in trajectory tracking and disturbance rejection, while Boolean methods maintain advantages in computational efficiency. The study concludes with controlled selection guidelines based on application-specific requirements.
Fuzzy logicBoolean controlRobot manipulatorPID controllerNonlinear dynamicsMembership functionsAdaptive controlTrajectory trackingНечеткая логикаБулево управление
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.