Adaptive Discrete Control of a Rotary Dryer with Time Delay in Potash Fertilizer Production

초록

Highlights What are the main findings? An adaptive discrete control system was developed for a rotary dryer with multivariable coupling and significant transport delay. Industrial implementation demonstrated stable moisture and exhaust gas temperature regulation under non-stationary operating conditions. What are the implications of the main findings? The proposed control strategy improves process stability and increases industrial drying efficiency by approximately 1.8%. The developed approach can be applied to other large-scale industrial drying processes to enhance energy efficiency and operational reliability.Highlights What are the main findings? An adaptive discrete control system was developed for a rotary dryer with multivariable coupling and significant transport delay. Industrial implementation demonstrated stable moisture and exhaust gas temperature regulation under non-stationary operating conditions. What are the implications of the main findings? The proposed control strategy improves process stability and increases industrial drying efficiency by approximately 1.8%. The developed approach can be applied to other large-scale industrial drying processes to enhance energy efficiency and operational reliability.Abstract This paper presents the design and industrial implementation of an adaptive discrete control system for a rotary dryer operating in potash fertilizer production. The drying process is characterized by high inertia, multivariable interactions, transport delay, and non-stationary behavior resulting from variations in raw material properties and external disturbances, which significantly reduce the effectiveness of conventional fixed-parameter controllers. A discrete-time mathematical model of the rotary drying process was developed using industrial experimental data collected from a full-scale production plant. The process was modeled as a coupled 2 & times; 2 multivariable system with pronounced time-delay effects in the main control channels. System identification was carried out using statistical and frequency-domain methods to capture the dominant dynamic characteristics required for controller synthesis. Based on the identified model, an adaptive discrete controller with online parameter adjustment was developed to regulate outlet moisture content and exhaust gas temperature. Simulation and industrial results confirmed stable operation under varying conditions, improved regulation accuracy, enhanced process stability, and an average production efficiency increase of approximately 1.8%, accompanied by reduced fuel consumption.

키워드