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.
| Mualliflar | Egamberdiev, Azimjon Abdurasulugli, Djuraev, Sherzod Sobirjonovich, Эгамбердиев, Азимжон Абдурасулугли, Джураев, Шерзод Собиржонович, Egamberdiyev, Azimjon Abdurasulo‘g‘li, Jo‘rayev, Sherzod Sobirjonovich |
|---|---|
| Jurnal | Саноатда рақамли технологиялар |
| Nashr sanasi | 2025-12-05 |
| Jild | 3 |
| Son | 4 |
| Betlar | 250-253 |
| Til | Ingliz |
| DOI | 10.70769/3030-3214.srt.3.4.2025.25 |
DOI: 10.70769/3030-3214.srt.3.4.2025.25 · Maqolaning asl sahifasi
Fuzzy logic, Boolean control, Robot manipulator, PID controller, Nonlinear dynamics, Membership functions, Adaptive control, Trajectory tracking, Нечеткая логика, Булево управление, Робот-манипулятор, PID-контроллер, Нелинейная динамика, Функции принадлежности, Адаптивное управление, Траектория отслеживания, Noaniq mantiq, Mantiqiy boshqaruv, Robot manipulyator, PID kontroller, Nochiziqli dinamika, Tegishlilik funksiyalari, Moslashuvchan boshqaruv, Kuzatuv trayektoriyasi
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