A New Control Strategy for Greenhouse Environment Control System Based on Inverse Model

The greenhouse environment control system is a type of non-linear since the temperature and humidity are highly coupled. Besides, time lag process large, so it’s quite difficult to linearize decouple system. To cope with this issue, paper proposed novel strategy for based on Back Propagation Neural Network (BPNN) inverse model, method can perform identification attain higher accuracy. Then, model original were connected in series form pseudo linear realize decoupled humidity. After that, aiming at impact some factors system, adopted adaptive fuzzy Proportion Integration Differentiation (PID) controller enhance adaptability thereby reducing error interference caused by At last, experimental results showed could be controlled within 1.2℃ relative was less than 2.5%. improve effect certain extent, it provides approach control.