Affiliations: [a]
School of Mechanical Engineering, Hebei University of Technology, Tianjin, China
| [b] Career Leader Intelligent Control Automation Company, Suqian, Jiangsu Province, China
| [c] Tianjin Key Lab Power Transmiss & Safety Technol, Dept State Key Lab Reliabil & Intellectual Elect, Tianjin, China
Note: [1] These authors contributed equally to this work.
Abstract: Recovering low-quality waste heat using industrial waste heat is challenging, and the reuse technology needs to erupt. Moreover, the gas source of low-quality waste heat is relatively volatile, which makes it challenging to keep the actual working condition of the plant stable. Therefore, it is inspiring to research the robustness of root-waste heat power generation processed measurement and control system to improve the stability of the plant operation. Hence, in this paper, we have applied uncertainty theory to analyze it and formulate the uncertainty model based on the Bode diagram. We also proposed a control method based on the uncertainty model, which combines robust control and internal model control to make the roots waste heat power generation system operate stably under the effect of external disturbances and changes of internal structure or parameters in actual operation. Experimental results show that the robust internal model control method has a speed deviation of no more than 7.9 r/min compared with the PID control method. The adjustment time to track the set value does not exceed 73.1 seconds within the allowed fluctuation range. The fluctuation variance is 30.95% of that of the PID controller. The dynamic performance is better, with strong anti-interference capability and significantly improved tracking performance. It ensures the stability of the roots-type waste heat utilization system, which is essential for future intelligent grid-connected power generation.
Keywords: Waste heat power generation, uncertain theory, robust internal model control, roots power machine
