An Improved Method of Model-Free Adaptive Predictive Control: A Case of pH Neutralization in WWTP

pH neutralization reaction process plays a crucial role in Waste Water Treatment Process (WWTP). Traditional PID Proportion Integral Differential, (or even advanced control) algorithms have poor performance on WWTP due to the strong non-linearity, large time lag, and inertia characteristics of neutralization. Therefore, finding superior control method maintain value wastewater within normal range will greatly help improve efficiency effectiveness treatment. The chemical mechanism is first analyzed, mechanistic model developed based ions during acid-alkali electric balance equation. Then, combining generalized predictive Model-Free Adaptive Control (MFAC), Predictive (MFAPC) compact format dynamic linearization introduced. An Improved Model Free PI algorithm (IMFAPC) with proportional (P) integral (I) proposed further performance. IMFAPC basis MFAPC, advantages control, introducing module consisting error sum, predicting module, making it possible produce more accurate constraints inputs, avoiding increasing errors, improving effect delayed systems at same time. simulation experimental results show that compared ordinary (MFAC) has best terms accuracy, overshoot, robustness.