국내기사
6×6 무인차량의 속도 기반 Gain Scheduling을 통한 종방향 속도 제어 최적화 = Optimization of longitudinal control for a 6×6 unmanned vehicle using speed-based gain scheduling
This study presents a longitudinal control framework for low-speed unmanned ground vehicles, focusing on the design of a gain-scheduled PI controller derived from a linearized vehicle dynamics model. The vehicle dynamics model is established using Taylor series expansion, and the resulting linear model is identified from open-loop step response tests. For each speed range, the PI control gains are optimized by minimizing the cost function designed to satisfy the desired settling time and damping ratio. Subsequently, the optimized gain according to the speed variation is embedded into the controller to construct a gain-scheduled PI controller, enabling compensation for discrepancies between the linearized model and real-world vehicle behavior. To verify the effectiveness of the proposed control framework, step-response experiments were conducted to compare the performances of the fixed-gain and gain-scheduled PI controllers. The results demonstrate that the gain-scheduled PI controller achieved an approximately 40% reduction in overshoot and a 10% improvement in settling time on average compared with its fixed-gain counterpart, confirming its effectiveness in real-world driving scenarios.