Real–Time Model Reference Adaptive Fuzzy Control of a 3DOF Robot Arm

VenturanHinostroza, Hubert; RojasnMoreno, Arturo

doi:10.1109/intercon50315.2020.9220247

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2022

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“…Since the mathematical model is a necessity for the design of control strategies, fuzzy logic presents multiple examples of its adaptation to avoid this requirement [10]- [12]. The applications range from control of robotic arms [13], control of the speed of motors [14], including the case previously referred to for speed control of a wind turbine [15].…”

Section: Introductionmentioning

confidence: 99%

Embedded fuzzy controller for water level control

Baquero

Ortega

Moreno

2022

IJECE

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This article presents the design of a fuzzy controller embedded in a microcontroller aimed at implementing a low-cost, modular process control system. The fuzzy system's construction is based on a classical proportional and derivative controller, where inputs of error and its derivate depend on the difference between the desired setpoint and the actual level; the goal is to control the water level of coupled tanks. The process is oriented to control based on the knowledge that facilitates the adjustment of the output variable without complex mathematical modeling. In different response tests of the fuzzy controller, a maximum over-impulse greater than 8% or a steady-state error greater than 2.1% was not evidenced when varying the setpoint.

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