EXPERT ADAPTIVE-CONTROL APPLIED TO TURBOGENERATOR SYSTEMS

Deficiencies in the performance of conventional controllers has led to the development of self-tuning strategies for excitation control of t urbogenerator systems. However, before such schemes can be implemented substantial monitoring or jacketing software is required. An expert s ystem is proposed to perform these duties, allowing a distinction to b e made between the control and identification algorithms and the accom panying supervisory functions. Test results on a laboratory microalter nator are presented, illustrating the advantages of self-tuning contro l and how expert system intervention enhances controller performance a nd robustness.