Macnab, Christopher John BPieper, Jeffrey KurtSamiuddin, Jilan2016-09-282016-09-2820162016http://hdl.handle.net/11023/3343The Transcritical Organic Rankine Cycle (TORC) is a non-linear time-varying heat recovery system for small-scale power generation. It is similar to a boiler-turbine system but uses organic fluid as the primary heat carrier instead of H2O and works in both subcritical and supercritical regions. The heat source can be either renewable energy or industrial waste-heat. In order for the TORC to work efficiently, it is essential the control system tracks the set points as closely as possible while remaining robust to disturbances; the control system design treats the heat source as a time-varying disturbance. To achieve this goal, this thesis presents a design of an adaptive Cere- bellar Model Articulation Controller (CMAC) which uses a single-input-single-output strategy by pairing the controlled variables (CVs) to the manipulated variables (MVs) using Relative Gain Ar- ray (RGA) analysis of the system. The CMAC improves performance and robustness compared to a traditional PI control.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Engineering--Electronics and ElectricalAdaptiveORCCMACTranscriticalModellingControlDynamicmaster thesis10.11575/PRISM/25758