External　disturbances　and　packet　dropouts　will　lead　to　poor　control　performance　for　the　wastewater　treatment　process　(WWTP).　To　address　this　issue,　a　robust　model-free　adaptive　predictive　control　(RMFAPC)　strategy　with　a　packet　dropout　compensation　mechanism　(PDCM)　is　proposed　for　WWTP.　First,　a　dynamic　linearization　approach　(DLA),　relying　only　on　perturbed　process　data,　is　employed　to　approximate　the　system　dynamics.　Second,　a　predictive　control　strategy　is　introduced　to　avoid　a　short-sighted　control　decision,　and　an　extended　state　observer　(ESO)　is　used　to　attenuate　the　disturbance　effectively.　Furthermore,　a　PDCM　strategy　is　designed　to　handle　the　packet　dropout　problem,　and　the　stability　of　RMFAPC　is　rigorously　analyzed.　Finally,　the　correctness　and　effectiveness　of　RMFAPC　are　verified　through　extensive　simulations.　The　simulation　results　indicate　that　RMFAPC　can　significantly　reduce　IAE　by　0.0223　and　0.1976　in　two　scenarios,　regardless　of　whether　the　expected　value　remains　constant　or　varies.　This　comparison　to　MFAPC　demonstrates　the　superior　robustness　of　RMFAPC　against　disturbances.　The　ablation　experiment　on　PDCM　further　confirms　its　capability　in　handling　the　packet　dropout　problem.