Çukurova Üniversitesi Mühendislik Fakültesi dergisi, cilt.39, sa.1, ss.175-187, 2024 (Hakemli Dergi)
Climbing robots have become increasingly important for applications such as inspection, maintenance, and
search and rescue in complex environments. This study presents studies on the design of a climbing robotic
prototype that utilizes magnetic wheels for wall attachment and model-based control using algebraic
second-order regulators for robust, accurate and fast positioning. The control approach uses the dynamics
of the driving system with DC motors subject to high disturbance, including real physical constraints such
as Coulomb friction, magnetic forces, and gravity. This controller uses pre-generated soft inputs in the form
of high-order Bezier curves to reduce stall motor torques. Simulations of the robotic system's dynamic
models were conducted using MATLAB, and experimental validation of the model-based control method
was performed. The study validates the use of algebraic second-order controllers for monophasic DC
motors to control the positioning of a climbing system subjected to high perturbations.