Dynamic Model and Adaptive Control of a Transcritical Organic Rankine Cycle
Abstract
The 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.
Description
Keywords
Engineering--Electronics and Electrical
Citation
Samiuddin, J. (2016). Dynamic Model and Adaptive Control of a Transcritical Organic Rankine Cycle (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25758