Model Reference Adaptive Control of Particle Mulling Process

Abstract

This paper is concerned with the design of adaptive control system to settle the property of foundry green sand to optimum one in a mulling process. The mulling process of foundry green sand can be modelled as a single-input, single-output (SISO) system, where the manipulated variable is the water quantity to be injected and controlled variable is the moldability index. Dynamical behavior of mulling process changes over a wide region between batches according to the variation of sand-binder ratio, environmental conditions and so on. An adaptive controller (implicit MRACS) is applied to this mulling process and is compared with the conventional PID and LOI control approaches. The adaptive controller is shown to provide good control quality under the tested conditions.