This　paper　presents　a　novel　diagonal　recurrent　neural　network　hybrid　controller　based　on　the　shared　memory　of　real-time　database　structure.　The　controller　uses　Data　Engine　(DE)　technology,　through　the　establishment　of　a　unified　and　standardized　software　architecture　and　real-time　database　in　different　control　stations,　effectively　solves　many　problems　caused　by　technical　standard,　communication　protocol,　and　programming　language　in　actual　industrial　application:　the　advanced　control　algorithm　and　control　system　co-debugging　diffculties,　algorithm　implementation　and　update　ineffciency,　and　high　development　and　operation　and　maintenance　costs　effectively　fill　the　current　technical　gap.　More　importantly,　the　control　algorithm　development　uses　a　unified　visual　graphics　configuration　programming　environment,　effectively　solving　the　problem　of　integrated　control　of　heterogeneous　devices;　and　has　the　advantages　of　intuitive　configuration　and　transparent　data　processing　process,　reducing　the　diffculty　of　the　advanced　control　algorithms　debugging　in　engineering　applications.　In　this　paper,　the　application　of　a　neural　network　hybrid　controller　based　on　DE　in　motor　speed　measurement　and　control　system　shows　that　the　system　has　excellent　control　characteristics　and　anti-disturbance　ability,　and　provides　an　integrated　method　for　neural　network　control　algorithm　in　a　practical　industrial　control　system,　which　is　the　major　contribution　of　this　article.　©　2019　by　the　authors.