ADAPTIVE-CONTROL - STATE-OF-THE-ART AND AN APPLICATION TO A GRINDING PROCESS

Adaptive control is finding its way into real-life situations, mainly as a result of considerable advances in microelectronics and the under standing of adaptive control theory. Several adaptive control algorith ms are now available and many industrial applications have been perfor med in the field of chemical engineering and more recently in the fiel d of particulate processes. This paper gives an overview of discrete a daptive controllers. It presents qualitatively rite underlying control design and discusses the recursive least-squares estimation algorithm with requirements for long-term parameter tracking. Particular emphas is is put on the design assumptions and several adaptive central appli cations in the particulate process field are given. Results concerning the adaptive control of a simulated grinding circuit are detailed.