2020
DOI: 10.34128/jsi.v6i2.232
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Desain Simulasi Robot Kesetimbangan Dua Roda Dengan Kecerdasan Buatan

Abstract: Dalam penelitian dijelaskan salah satu metode alternatif analisa kontrol pada robot kesetimbangan dua roda dengan menggunakan progam simulasi. Program simulasi menggunakan software Matlab. Penelitian ini menghasilkan analisa simulasi kontrol, berupa analisa data sensor  gyroscope, simulasi PID dan logika fuzzy. Pada simulasi PID nilai kestabilan didapat pada Kp=100, Ki=200, Kd=10, hasil analisa data gyroscope didapat nilai minimum pada 0,074616, nilai maksimum 0,110321, dengan nilai rata-rata 0,092469, standar… Show more

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“…This problem can be overcome by several methods such as using Proportional Derivative (PD) control [18], Proportional Integral Derivative (PID) [19] [20] [21], Fuzzy Logic Control (FLC) [22], Fuzzy Model Reference Learning Control (FMRLC) [23], State Feedback Controller [24], Linear Quadratic Regulator (LQR) [25] or Neural Network Controller [26][27] [28]. In simulation, problems can be solved with good results and performance [29] [30][31] [32][33] [34]. However, simulation has ideal conditions so that real implementation on hardware can produce different performance because of many factors that influence the hardware implementation design.…”
Section: Introductionmentioning
confidence: 99%
“…This problem can be overcome by several methods such as using Proportional Derivative (PD) control [18], Proportional Integral Derivative (PID) [19] [20] [21], Fuzzy Logic Control (FLC) [22], Fuzzy Model Reference Learning Control (FMRLC) [23], State Feedback Controller [24], Linear Quadratic Regulator (LQR) [25] or Neural Network Controller [26][27] [28]. In simulation, problems can be solved with good results and performance [29] [30][31] [32][33] [34]. However, simulation has ideal conditions so that real implementation on hardware can produce different performance because of many factors that influence the hardware implementation design.…”
Section: Introductionmentioning
confidence: 99%