Weerawat Sudsutad

Papers

Total Citations

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About

Weerawat Sudsutad is a researcher advancing the field of mobile robotics through intelligent control system design. His primary research focuses on trajectory tracking for wheeled mobile robots (WMRs), where he develops novel hybrid controllers that combine classical and modern techniques. His most cited work, “Optimal Backstepping-FOPID Controller Design for Wheeled Mobile Robot” (2022, 11 citations), introduces a fractional order PID controller integrated with backstepping control, optimized using meta-heuristic algorithms to solve the challenging parameter tuning problem. In a complementary study, “Optimal Design and Performance Comparison of a Combined ANFIS-PID with Back Stepping Technique” (2022, 5 citations), Sudsutad merges adaptive neuro-fuzzy inference systems with PID control, benchmarking various optimization algorithms to enhance WMR trajectory tracking accuracy. His contributions demonstrate a systematic approach to overcoming the nonlinear dynamics and tuning difficulties inherent in mobile robot control. By leveraging hybrid meta-heuristic optimization, Sudsutad’s work provides practical, high-performance solutions that push the boundaries of autonomous navigation, making his research valuable for engineers and students working on intelligent robotic systems.