SSA-based TVOC Concentration Control Method for Storage Equipment
DOI:
https://doi.org/10.54097/tdd7hq21Keywords:
PID; TVOC concentration control; SSA.Abstract
The collection and storage of hazardous waste (HW) represent a critical phase in the full-process management of HW, where the control of total volatile organic compound (TVOC) concentrations in storage equipment directly impacts environmental safety and personnel health. Traditional manual control of UV lamps relies on empirical judgment, often suffering from delayed response, high energy consumption, and poor stability. To enhance the safety management of HW storage equipment and achieve precise, efficient TVOC concentration control, this study proposes an intelligent control method based on a PID algorithm optimized by the Sparrow Search Algorithm (SSA). This approach dynamically adjusts UV lamp intensity in response to fluctuations in liquid waste volatilization, maintaining TVOC levels stably below the emission standard threshold of 500 ppb. Stability tests demonstrate that the SSA-optimized PID parameters exhibit rapid convergence, achieving parameter optimization for step and sinusoidal responses within 13 and 18 iterations, respectively. Experimental results on TVOC concentration control show that the proposed method stabilizes TVOC levels within the range of 216–228 ppb within 27 minutes, with minimal sensitivity to environmental variations.
Downloads
References
[1] Palmisani J, Di Gilio A, Viana M, et al. Indoor air quality evaluation in oncology units at two European hospitals: Low-cost sensors for TVOCs, PM2.5 and CO2 real-time monitoring[J/OL]. Building and Environment, 2021, 205: 108237. https://doi.org/10.1016/j.buildenv.2021.108237
[2] Kang Y, Jo H H, Kim S. Effects of UV degradation on building materials with emphasis on microplastic generation potential[J/OL]. Journal of Hazardous Materials, 2025, 483: 136521. https://doi.org/10.1016/j.jhazmat.2024.136521
[3] Zhang Y, Wang X, Qian X, et al. Research on load frequency control of new power system based on improved sparrow search algorithm[J/OL]. Measurement: Sensors, 2024: 101432. https://doi.org/10.1016/j.measen.2024.101432
[4] Cantera-Cantera L A, Maya-Rodríguez M C, Palomino-Resendiz S I, et al. Level and flow systems identification of an industrial processes module by LSOD method for PID controllers design[J/OL]. Results in Engineering, 2025, 25: 104347. https://doi.org/10.1016/j.rineng.2025.104347
[5] Xue J, Shen B. A novel swarm intelligence optimization approach: sparrow search algorithm[J/OL]. Systems Science & Control Engineering, 2020, 8(1): 22-34. https://doi.org/10.1080/21642583.2019.1708830
[6] Parsa Z, Dhib R, Mehrvar M. Multi-Loop PID Controller Design for PVA Degradation in a Tubular UV/H2O2 Photoreactor[J/OL]. IFAC-PapersOnLine, 2024, 58(14): 736-741. https://doi.org/10.1016/j.ifacol.2024.08.425
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.








