HVAC system with multivariable optimization using a plurality of single-variable extremum-seeking controllers

Abstract

A HVAC system for a building includes a plant and a plurality of single-variable extremum-seeking controllers (ESCs). The plant includes HVAC equipment operable to affect an environmental condition inthe building. Each of the single-variable ESCs is configured to perturb a different manipulated variable with a different excitation signal and provide the manipulated variables as perturbed inputs to the plant. The plant uses multiple perturbed inputs to concurrently affect a performance variable. The single-variable ESCs are configured to estimate a gradient of the performance variable with respect to the each manipulated variable and independently drive the gradients toward zero by independently modulating the manipulated variables.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of and priority to U.S. Patent Application No. 15 / 284,468, filed October 3, 2016, which is a continuation-in-part of U.S. Patent Application No. 15 / 080,435, filed March 24, 2016, The latter claims the benefit and priority of U.S. Provisional Patent Application No. 62 / 296,713, filed February 18, 2016. The entire disclosure of each of these patent applications is incorporated herein by reference. technical field [0003] The present invention includes an HVAC system with multivariate optimization using multiple univariate extremum search controllers. Background technique [0004] The present disclosure generally relates to extremum search control (ESC) systems. Extremum search control is a class of self-optimizing control strategies, which can dynamically search for unknown and / or time-varying inputs of the system to optimize a certain performance index. Extremum search control can ...

AI Technical Summary

Problems solved by technology

The facility uses these two disturbance inputs to simultaneously affect the performance variable

Images