MULTIVARIATE CONTROL PERFORMANCE ASSESSMENT OF MPC IN WASTEWATER TREATMENT PROCESS
As the public awareness of environmental protection increases and the environmental regulations become more stringent, effective control of the wastewater treatment process (WWTP) has become a research hotspot. However, with strong interaction between variables it is difficult to control the WWTP since the process is nonlinear and complex. Model predictive control (MPC), as the only one among the so-called advanced control techniques, owns tremendous success in many practical fields in recent decades. Based on the features of determining the capability of the current controller and locating the best achievable performance, control performance assessment (CPA) techniques have received a great interest from both academia and industry. In order to apply CPA technique to the wastewater treatment process, the MPC controller should be designed and tuned first. In this paper, the MPC strategy is introduced to the Benchmark Simulation Model 1 (BSM1). Under this circumstance, the control target is to maintain the nitrate concentrate in the second compartment and the dissolved oxygen concentrate in the fifth compartment simultaneously at their desired values using the MPC control strategy. Three tunings of MPC parameters are compared for MPC design. In this paper, MPC is applied to control dissolved oxygen concentration and nitrate concentration. The improvement potential of the MPC controller is figured out and assessed by using multivariate control performance assessment approach.
control performance assessment wastewater treatment process model predictive control BSM1 benchmark
Liu Hongbin Shen Wenhao JungJin Lim MinJung Kim ChangKyoo Yoo
Center for Environmental Studies, Department of Environmental Science and Engineering, Kyung Hee Uni State Key Laboratory of Pulp and Paper Engineering,South China University of Technology, Guangzhou,5
国际会议
广州
英文
1083-1086
2010-11-08（万方平台首次上网日期，不代表论文的发表时间）