HVAC Controller Parameter Tuning for Cascaded Loop Stabilization

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Solution Overview

Problem

HVAC control systems with cascaded control loops face challenges due to nonlinear coupling between controllers, unstable setpoint signals, leading to inefficient operation, premature wear of components, and decreased user satisfaction.

Innovation Solution

A method for generating and tuning HVAC controller parameters using simulations and optimization techniques to stabilize setpoint signals, involving offline and online processes to determine optimal parameters based on oscillations and reward functions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If cascaded control loops are used in HVAC systems, then control functionality is improved, but system stability deteriorates due to nonlinear coupling and unstable setpoint signals

Engineering Contradiction:
Improvecontrol functionalityVSAvoidsystem stability
Core Design Contradiction:
Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent introduces an intermediary stabilization mechanism that processes setpoint signals before they reach the cascaded control loops. This intermediary layer filters and stabilizes the setpoint signals, reducing the harmful effects of nonlinear coupling while preserving the adaptive control functionality of the cascaded structure.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent dynamically adjusts control parameters based on system conditions to maintain stability. By changing parameters such as controller gains and filtering characteristics in response to detected instability, the system preserves cascaded control functionality while adapting to maintain stability under varying operating conditions.

Inventive Principle:
Principle #35Parameter changes

2Speed

If setpoint signals are rapidly changing, then responsiveness is improved, but component wear increases and efficiency decreases

Engineering Contradiction:
ImproveresponsivenessVSAvoidcomponent wear
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The patent implements periodic filtering and smoothing of setpoint signals before they are executed by the control system. This periodic action allows the system to respond to genuine changes while filtering out high-frequency fluctuations that would cause excessive component wear and inefficiency.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent applies preliminary stabilization and filtering to setpoint signals before they reach the actuators. By preparing and conditioning the signals in advance, the system maintains responsiveness to legitimate setpoint changes while preventing rapid, wear-inducing fluctuations from reaching the physical components.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If setpoint signals are unstable with oscillations, then control adaptability is improved, but system efficiency deteriorates and user satisfaction decreases

Engineering Contradiction:
Improvecontrol adaptabilityVSAvoidsystem efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements feedback mechanisms that monitor system response to setpoint changes and adjust subsequent signaling accordingly. This feedback allows the system to maintain adaptability by learning from past responses while improving efficiency by avoiding repetitive oscillations and unnecessary adjustments.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces dynamic filtering and stabilization that adapts to system conditions. The filtering characteristics change based on operating conditions, allowing the system to maintain control adaptability when needed while suppressing efficiency-degrading oscillations under normal operating conditions.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260016182A1HVAC controller parameter determination based on signal stabilization
Publication Date: 2026.01.15 BELIMO HOLDING AG
  • US20260016182A1 patent drawing
  • US20260016182A1 patent drawing
  • US20260016182A1 patent drawing

AI summary

Methods and systems for generating parameters and loading them into an HVAC controller are described herein. Setpoint functions are input into a simulation of an environment of the controller. An output of the controller within the simulation is evaluated, using an objective function based on oscillations of the output of the controller, to determine the parameters, which are then loaded into the controller. Alternatively or additionally, data corresponding to an environment in which the controller is implemented is received. The data includes information about a setpoint signal received from an external controller and feedback from a physical system controlled by the controller. The data is evaluated using a reward function to determine parameters, which are then loaded into, or used to augment existing parameters within, the controller. By using the techniques herein, the controller may be configured to stabilize the setpoint signal received from the external controller.