Dynamic Temperature–Humidity Decoupling and Artificial Hummingbird Algorithm-Optimized Asymmetric Sliding-Mode Control for Medical Instrument Transport Boxes
Year: 2026
Type: article
Abstract: Temperature–humidity coupling, unequal channel dynamics, and actuator saturation complicate environmental control in medical instrument transport boxes. This study combines dynamic feedforward decoupling with artificial hummingbird algorithm-optimized asymmetric sliding-mode control (AHA-ASMC). A four-channel first-order plus dead-time model and relative gain analysis support loop pairing and bidirectional compensation. Direction-dependent switching gains and a continuous boundary layer are tuned offline, and a Lyapunov analysis establishes ultimate boundedness under the stated disturbance conditions. In the ablation simulations, AHA-ASMC reduces temperature settling time from 1121 to 490 s and undershoot from 0.580 to 0.294 °C relative to symmetric sliding-mode control. Prototype experiments show cross-channel deviation reductions of 52.0% and 78.1%. Additional closed-loop calculations show that identified-model mismatch reduces humidity and temperature peak suppression from 89.80% to 85.64% and from 88.03% to 79.61%, respectively. Relative to PID, temperature and relative-humidity integral absolute errors decrease by 22.7% and 39.0% during joint regulation, although settling times increase by 183 and 79 s. Door-opening tests cover five duration and angle conditions with three repetitions per controller and condition. Temperature and relative-humidity recovery-time means decrease by 60.4–66.1% and 78.5–91.7%, respectively. The measured complete embedded task takes 400 ms within the 1 s update period.
Source: Sensors
DOI: 10.3390/s26227129
Institution: Hebei University of Science and Technology
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7225815071
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