Multimodels adaptive controller for multivariable systems

Adaptive controller based on a multimodel technique is proposed in this paper. Optimal parameters are calculated offline for each zone in the grid plane of a multiunits system and placed in memory storage. The controller tracks the operating conditions and updates the optimal parameters as conditions change. These zones can be considered as reference models for adaptive controllers. The master computer supervises the operating conditions of a single controlled unit from the multiunits system and selects the corresponding optimal feedback gains. This paper illustrates and compare between the classical automatic voltage controls with the proposed adaptive controller over a wide range of operation. The results show that high quality control can be achieved by this technique that should overcome the nonlinearity of complex systems.