Study demonstrates improved fan performance and energy efficiency in air-suspended belt conveyors, suggesting advanced control methods may enhance operations.
Dynamic mismatches between fan power and coal-carrying capacity in air-suspended belt conveyors lead to energy inefficiency and operational instability. This study proposes a fuzzy PID control algorithm to address these challenges. By dynamically adjusting PID parameters based on real-time deviations and deviation rates, the algorithm achieves precise fan speed regulation. Experimental results demonstrate a maximum speed error of 15 r/min under variable loads, outperforming traditional PID controllers in overshoot reduction (30%) and response time (20%). Energy consumption decreased by 18% under partial loads, validating the algorithm’s industrial applicability. This research advances intelligent control strategies for energy-efficient material handling systems.
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Wei et al. (2025) studied this question.
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