Towards stable and efficient nitrogen removal in wastewater treatment processes via an adaptive neural network based sliding mode controller.

ABSTRACT: Advanced controllers often offer an innovative solution to proper quality control in wastewater treatment processes (WWTPs). However, nonlinearity and uncertain disturbances usually make the conventional control strategies inadequate or impossible for the stable operations of WWTPs. To guarantee the stability of ammonia nitrogen concentration ( SNH ) control in WWTPs, a direct adaptive neural networks-based sliding mode control (ANNSMC) strategy has been proposed in this article. A sliding mode controller is designed and implemented with the help of an adaptive Neural Network (ANN), named Radial Basis Function Neural Network (RBFNN), which can approach the desired control law accurately. Also, the stability of a system installed with the ANNSMC is analyzed by using the Lyapunov theorem, wh

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11350439 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature