Pranoto Hidaya R.
Papers
1
Total Citations
2
H-Index
1
About
Pranoto Hidaya R. is a researcher in robotics and control systems, with a particular focus on the application of fuzzy logic to dynamic balancing problems. His work centers on the development and optimization of two-wheeled balancing robots, a class of inherently unstable systems that require sophisticated control algorithms to maintain equilibrium. In his most cited paper, "Pengaruh Jumlah Input Dan Membership Function Fuzzy Logic Control Pada Robot Keseimbangan Beroda Dua" (2019), he created a dynamic model for such a robot and designed two types of Fuzzy Logic Controllers (FLC) using the Mamdani method. This study systematically compared the performance of FLCs with different input configurations—specifically, using pendulum tilt angle versus both tilt angle and angular velocity—to determine the most effective control strategy. By demonstrating how the number of inputs and the shape of membership functions directly impact the robot's stability and response time, his work provides a practical framework for engineers designing balancing systems. With 2 citations, this foundational research offers clear, actionable insights for students and researchers exploring fuzzy logic applications in robotics, highlighting the critical trade-offs between controller complexity and performance.
Research Focus
Key Achievements
Top Papers
- 1