Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process

Dear Editor, This letter is concerned with the data-driven fault compensation tracking control for a coupled wastewater treatment process (WWTP) subject to sensor faults. Invariant set theory is introduced to eliminate the completely bounded and differentiable conditions of coupled non-affine dynamics and to explicitly express the control inputs. An adaptive fault compensation mechanism is constructed to accommodate the effects of sensor faults. By employing a cubic absolute-value Lyapunov criteria, it is shown that all the signals are bounded and the tracking error converges to an adjustable neighborhood near the origin. Experiment studies are executed on a standardized platform of WWTP to illustrate the effectiveness of the proposed strategy.

Automated summary

This letter addresses the issue of data-driven fault compensation tracking control for a coupled wastewater treatment process (WWTP) affected by sensor faults. Invariant set theory is utilized to eliminate the conditions of coupled non-affine dynamics and explicitly express the control inputs. An adaptive fault compensation mechanism is developed to adapt to the effects of sensor faults. Experimental studies on a standardized WWTP platform are conducted to demonstrate the effectiveness of the proposed strategy.