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Model Predictive Control of Multi-zone Vapor Compression Systems
Abstract While the previous chapter presented modeling and control strategies for vapor compression systems in general, in this chapter, a model predictive controller is designed for a multi-zone vapor compression system. Controller requirements representing desired performance of production-scale equipment are provided and include baseline requirements common in control literature (constraint enforcement, reference tracking, disturbance rejection) and also extended requirements necessary for commercial application (selectively deactivating zones, implementable on embedded processors with limited memory/computation, compatibility with demand response events.). A controller architecture is presented based on model predictive control to meet the requirements. Experiments are presented validating constraint enforcement and automatic deactivation of zones.
Model Predictive Control of Multi-zone Vapor Compression Systems
Abstract While the previous chapter presented modeling and control strategies for vapor compression systems in general, in this chapter, a model predictive controller is designed for a multi-zone vapor compression system. Controller requirements representing desired performance of production-scale equipment are provided and include baseline requirements common in control literature (constraint enforcement, reference tracking, disturbance rejection) and also extended requirements necessary for commercial application (selectively deactivating zones, implementable on embedded processors with limited memory/computation, compatibility with demand response events.). A controller architecture is presented based on model predictive control to meet the requirements. Experiments are presented validating constraint enforcement and automatic deactivation of zones.
Model Predictive Control of Multi-zone Vapor Compression Systems
Burns, Daniel J. (author) / Danielson, Claus (author) / Cairano, Stefano (author) / Laughman, Christopher R. (author) / Bortoff, Scott A. (author)
2017-12-05
33 pages
Article/Chapter (Book)
Electronic Resource
English
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