Fuzzy Logic and Genetic-Based Algorithm for a Servo Control System

Abstract

Performing control is necessary for processes where a variable needs to be regulated. Even though conventional techniques are widely preferred for their implementation, they present limitations in systems in which the parameters vary over time, which is why methods that use artificial intelligence algorithms have been developed to improve the results given by the controller. This work focuses on implementing a position controller based on fuzzy logic in a real platform that consists of the base of a 3D printer, the direct current motor that modifies the position in this base, the power stage and the acquisition card. The contribution of this work is the use of genetic algorithms to optimize the values of the membership functions in the fuzzification of the input variables to the controller. Four scenarios were analyzed, in which the trajectory and the weight of the system were modified. The results obtained in the experimentation show that the rising and setting times of the proposed controller are better than those obtained by similar techniques that were previously developed in the literature. It was also verified that the proposed technique reached the desired values even when the initial conditions in the system changed.

Fuzzy Logic-Based Substitution-Box for Robust Medical Image Encryption in Telemedicine

“…They enable us to describe these kinds of scenarios mathematically and then arrive at decisions according to the information provided. In numerous applications, such as artificial intelligence [19], decision-making [20][21][22], and control systems [23][24], fuzzy subsets are utilized. By making encryption unpredictable, fuzzy logic increases cryptographic system security.…”

Fuzzy Control of Pressure in a Water Supply Network Based on Neural Network System Modeling and IoT Measurements

“…Because of the recent relevant works in the area, it was observed that there were developments for controllers based on artificial intelligence techniques. Thus, the authors of this paper have proposed the development of a fuzzy controller for pressure control in a water supply network, considering the good performance of fuzzy control applied in nonlinear systems found in the literature [ 17 , 18 , 19 ].…”

Fuzzy logic controller for UAV with gains optimized via genetic algorithm

“…For instance, [20] implemented a GA for online self-tuning with a focus on high-quality servo control and reduction of vibrations while positioning a linear motion system. [21] uses GA to optimize the values of the membership functions in the fuzzification of the input variables to a fuzzy controller in a servo system. The work presented in [22] used a GA to find the optimal flyable path for the UAVs in a 3D environment.…”