Comparison of adaptive control techniques for hyperthermia

Abstract

This thesis investigates several different control techniques as applied to hyperthermia-based models. These control techniques are control switching, Model Reference Adaptive Control, and Self Tuning Regulators. These three techniques are compared to a conventional PI controller. The objective of each controller is to regulate three temperatures associated with models which represent a three region tissue volume using a single input. Consideration is given to different types of blood perfusion levels as well as restrictions placed on the flexibility of the input power. This thesis shows that during simulations of the hyperthermia treatments, the Self Tuning Regulator technique is more effective at regulating the temperatures.