This paper is concerned with the investigation of a novel hybrid LQ-Adaptive strategy based on the so called Minimal Control Synthesis Algorithm (MCS). A model reference MCS adaptive control scheme is implemented where the reference model is controlled via an LQ regulator. An additional supervisory control action updates on-line the reference model and the gains of the LQ control, switching between a control and an identification phase. The resulting hybrid LQ-MCS algorithm is validated on a representative case study.
On a Novel Hybrid LQ-MCS Control Strategy and its Application to a DC Motor / DI BERNARDO, Mario; U., Montanaro; Santini, Stefania. - STAMPA. - (2007), pp. 2459-2462. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems tenutosi a New Orleans nel May 2007) [10.1109/ISCAS.2007.378736].
On a Novel Hybrid LQ-MCS Control Strategy and its Application to a DC Motor
DI BERNARDO, MARIO;SANTINI, STEFANIA
2007
Abstract
This paper is concerned with the investigation of a novel hybrid LQ-Adaptive strategy based on the so called Minimal Control Synthesis Algorithm (MCS). A model reference MCS adaptive control scheme is implemented where the reference model is controlled via an LQ regulator. An additional supervisory control action updates on-line the reference model and the gains of the LQ control, switching between a control and an identification phase. The resulting hybrid LQ-MCS algorithm is validated on a representative case study.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
