Title :
Non-fragile robust control of aeration process of sewagetreatment
Author :
Meng, Hua ; Lv, Xuan ; Zhang, Jian-Hua ; Wu, Xue-li
Author_Institution :
Coll. of Electron. Eng. & Inf., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
The concentration of dissolved of wastewater treatment process directly affect organic removal efficiency and activated sludge. Dissolved oxygen aeration device is through the control of aeration device. In practical application, such as controller was due to the convert accuracy of D/A and A/D ,as well as the truncation errors due to temperature change aging or failure caused by components of electronic components such as the change of the parameters of the influence of various factors, which requires the aeration process control controller gain coefficient must be able to overcome some degree of perturbation, namely the controller design requirements should be certain of non-fragile. Based on the study of the characteristics of aeration process, the stability of the closed-loop system with controller gain perturbation problem is proposed based on the LMI fragile state feedback controller design method, given the sufficient condition of the stability of the closed-loop system when controller with gain perturbed .And given non-fragile of the controller design forms and the solving method. Simulation results show that the gain perturbation controller has strong robustness, which shows that this method is correct and effective.
Keywords :
closed loop systems; control system synthesis; linear matrix inequalities; process control; robust control; sewage treatment; stability; state feedback; wastewater treatment; A-D convert accuracy; D-A convert accuracy; LMI fragile state feedback controller design method; activated sludge; aeration process control controller gain coefficient; closed-loop system; controller gain perturbation problem; dissolved oxygen aeration device; nonfragile robust control; organic removal efficiency; sewage treatment; stability; wastewater treatment process; Control systems; Linear systems; Process control; Robustness; Stability analysis; Thermal stability; Wastewater treatment; dissolved oxygen; linear matrix inequality; non-fragile; robustness; wastewater treatment process;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5553847