Extremum Seeking Reset Control for Abrupt HVAC Changes
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Solution Overview
Problem
Traditional extremum seeking control systems in HVAC applications experience undesirable delays when adapting to abrupt changes, leading to increased power consumption as they adjust to new optimal settings.
Innovation Solution
A controller using an extremum seeking control strategy with a circuit to detect abrupt changes and reset the system, allowing it to quickly adapt to new optimal settings by overriding the manipulated variable with a reset parameter, thereby reducing the time needed to converge on new settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional extremum seeking control is used to dynamically search for optimal settings, then the system can optimize performance under normal conditions, but the system experiences undesirable delays when adapting to abrupt changes
Solution Approach 1:
The system performs preliminary detection of abrupt changes using a change detector that monitors for sudden shifts in plant operation. When an abrupt change is detected, the system preemptively resets the extremum seeking control parameters before the traditional slow adaptation process would begin, thereby eliminating adaptation delays entirely rather than merely reducing them.
2Reliability
If the system waits for extremum seeking control to naturally adapt to new optimal settings, then the control process remains stable, but power consumption increases during the adaptation period
Solution Approach 1:
The system employs a feedback mechanism where the change detector continuously monitors plant operation and provides real-time information about abrupt changes. This feedback triggers an immediate reset of the extremum seeking control parameters, creating a closed-loop system that responds to conditions and eliminates the prolonged high-power consumption state that would otherwise occur during natural adaptation.
3Loss of time
If a reset mechanism is added to compensate for abrupt changes, then adaptation time is reduced, but the device complexity increases
Solution Approach 1:
The invention introduces a change detector as an intermediary component that sits between the plant and the extremum seeking control system. This intermediary monitors for abrupt changes and triggers parameter resets without requiring fundamental redesign of the core control architecture. The intermediary approach adds minimal complexity while achieving the goal of rapid adaptation.
Data Source
AI summary
An extremum seeking control method optimizes a control process for a plant such as an air handling unit. The method compensates for abrupt changes in the operation of the plant by resetting the extremum seeking control strategy in response to a detection of the abrupt change.