Optimization based control of a direct rotary dryer

This paper presents the control of a direct rotary dryer based on nonlinear optimization. This methodology allows the dynamic self-tuning of PI or PID controller, clearly improving process control over the classic tuning approach. Process control is done through Matlab via computer simulation and verification through a pilot process, which allows us to appreciate the potential of the proposed dynamic tuning. The results, response time and dynamic control allow us to scale future research from the laboratory (pilot scale) to industrial processes.