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Optimal control of HVAC systems using DDP and NLP techniques

✍ Scribed by Narendra N. Kota; John M. House; Jasbir S. Arora; Theodore F. Smith

Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
435 KB
Volume
17
Category
Article
ISSN
0143-2087

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✦ Synopsis

The objective of this study is to apply the differential dynamic programming (DDP) technique of optimal control to heating, ventilating and air-conditioning (HVAC) systems and to compare its performance with a non-linear programming (NLP) technique using the sequential quadratic programming method. The DDP technique is briefly described and studied. Limitations of the technique are noted. Three cases of a system that has been treated previously in the literature are optimized by the two techniques and the computational times compared. The study shows DDP to be efficient compared with NLP for the example problems. NLP is, however, more robust and general and can treat constraints on the state variables directly. Further investigation is needed for larger-scale problems to fully explore the features of the two methods.

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