Earticle

This study investigates the effects of digital interface structure on the operational performance of unmanned and manned–unmanned integrated mechanical systems from a human factors perspective. Using case-based comparative analysis, changes in response time, operation error rate, and situational awareness accuracy before and after interface redesign were examined. The results indicate that improvements in interface integration, procedural simplification, and consistency significantly enhance operational performance without modifying mechanical hardware or control algorithms. The study highlights the importance of incorporating human factors engineering into the early design and evaluation stages of complex mechanical systems.

Sliding mode control with nonlinear interpolation in the boundary layer is proposed. A modified sigmoid function is used for nonlinear interpolation in the boundary layer and its parameter is tuned by a fuzzy controller. The fuzzy controller that takes both the sliding variable and a measure of chattering as its inputs tunes the parameter of the modified sigmoid function. Owing to the decreased thickness of the boundary layer and the tuned parameter, the proposed method has superior tracking performance than the conventional linear interpolation method.

Sliding mode control with nonlinear interpolation in the boundary layer is proposed. A modified sigmoid function is used for nonlinear interpolation in the boundary layer and its parameter is tuned by a fuzzy logic controller. The fuzzy logic controller that takes the distance between the system state and the sliding surface as its input guides the choice of parameter of the modified sigmoid function and the parameter is on-line tuned. Owing to the decreased thickness, the proposed method has better tracking performance than the conventional linear interpolation method. To demonstrate its performance, the proposed control algorithm is applied to a simple nonlinear system model.