Human-in-the-Loop Intelligent Control System for Continuous-Flow Grain Drying

Moisture content is one of the key controlled variables in grain drying processes. However, this variable cannot or is difficult to be controlled accurately, due to grain drying is a nonlinear process with multi-variables and long delay. To solve this problem, the study is focused on a new intelligent control system for continuous-flow dryer. Based on the manual control idea for controlling the outlet moisture content, a nonlinear process intelligent control algorithm is presented, a human-in-the-loop intelligent control model for grain drying is developed, a system of software structure based on Visual Basic 6.0 is designed.