Nonlinear model-based control in the biological waste-water treatment system

Abstract

The dissolved oxygen (DO) concentration has been an important process parameter in the biological wastewater treatment system. A new strategy for designing a nonlinear model-based control is developed. The proposed controller can be incorporated directly with the nonlinear DO process model obtained by on-line parameter estimation method without any Iinearization or model reduction. Since the model-based nonlinear control incorporates the process disturbance and nonlinearity effectively, the suggested method can efficiently treat the operating condition. The simulation results show that the proposed control strategy outperforms the normal control strategy that uses a standard PID controller.