2021
DOI: 10.22266/ijies2021.1031.26
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The Use of an Optimal Fuzzy Controller Algorithm for a Low-cost Microcontroller

Abstract: Fuzzy gain-scheduled PID (FuGSPID) controllers have attracted significant interest in contemporary research. This paper provides mathematical description help to reduce the code program for a Fuzzy gain-scheduled controller FuGSPID that is subsequently used to stabilize the altitude of a home-constructed Quadcopter. The subject particle swarm optimization approach was employed to optimize the fuzzy output sets of the controller. MATLAB was used to generate the dynamic model, the FuGSPID, and the optimization. … Show more

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“…The results showed that the modified adaptive slip mode control was able to reduce error performance indicators of ISE (integral of squared error) at 1,041 square feet. In [22], the authors utilized FuGSPID (Fuzzy gain-scheduled PID) to stabilize the altitude by using only a homemade quadcopter. Particle Swarm Optimization (PSO) was chosen to improve the console's performance or to determine the best configuration using both simulations in MATLAB and experiments.…”
Section: Introductionmentioning
confidence: 99%
“…The results showed that the modified adaptive slip mode control was able to reduce error performance indicators of ISE (integral of squared error) at 1,041 square feet. In [22], the authors utilized FuGSPID (Fuzzy gain-scheduled PID) to stabilize the altitude by using only a homemade quadcopter. Particle Swarm Optimization (PSO) was chosen to improve the console's performance or to determine the best configuration using both simulations in MATLAB and experiments.…”
Section: Introductionmentioning
confidence: 99%