Adaptive Nonlinear PID Control for the Industrial Wastewater Treatment Plant (Case study: Africa Juice Tibila S.C).

Abstract

Wastewater is released liquid from any collection of industrial, agricultural, domestic or commercial work places. It contain harmful chemicals, bactrerias or fungi and others toxic pollutants which are dangerous for the society if it didn’t treated before released back into the society and environment. The activated sludge process of biological process contain some parameters dissolved oxygen (DO), chemical oxygen demand (COD), biological oxygen demand (BOD), potential hydrogen (PH), total dissolved soluble (TDS), total soluble solid (TSS), ammonia (NH3), nitrate or nitrite (NO3) and others breakdown organic matters in wastewater. The dissolved oxygen is the major critical in wastewater treatment plant for aquatic life and biological or chemical oxygen demand process,so, it must been maintained at a certain level for the bacteria to function properly. If industrial wastewater is not well treated the impacts of the untreated released cause healthy problem for community, environmental pollution and odor odour which pollute the air. So, the world health organization, sustainable development goals and others envrimontal based regulator bodies punish the company released the waste to community. Adaptive nonlinear proportional integral derivative(PID) controller can manages the wastewater parametrs as standard. In additional using with radial basis function neural network algorithm as parameters estimator , when PID is the main controller. The radial based function neural network (RBFNNPID) algorithm is a control algorithm that has shown to the effective for controlling the amount of DO, BOD, COD, PH, TDS, TSS, NH3 and NO3 interms of sensor signals feedback for the PID and radial based function neural network (RBFNN) algorithm parameters estimating and give response for PID. The RBFNNPID algorithm is able to tracking the desired paramters more accurately and has a stronger anti disturbance abilty than traditional or linear PID. The simulation results demonstrate that the adaptive nonlinear proportional integral derivative (ANLPID) controller exhibits excellent performance in terms of tracking and anti jamming capabilities. Furthermore, it shows significant improvements compared to traditional PID control methods. Using nonlinear PID with RBFNN best controller all parameters easily by controlling the discharging valve opening depending the feedback from PID by comparing set value with actual values. It has the abilty to be improve the industrial wastewater treatment plant effectiveness and efficiency.