Active Thermal Control System
L3-TCS-CTRL-MPC ESSENTIAL THERMAL Level 3 · hardware

Model Predictive Thermal Controller

Predictive Thermal Management Algorithm

A model predictive thermal controller is a predictive management algorithm within an active thermal control system that models future temperatures across a rolling time horizon. The controller proactively schedules radiators and heaters to maintain temperature constraints and minimize energy consumption before transients occur. The predictable 336-hour lunar day-night cycle enables effective optimization, allowing the algorithm to pre-position hardware for impending thermal shifts. Maintaining performance over decades of operation requires online model updating to prevent degradation, while the algorithm's computational cost must remain within the habitat's allocated command and data handling processing budget.

Model-predictive controller optimizing thermal management over lunar day/night cycle horizon

Purpose

Anticipate thermal transients and pre-position system for optimal response

Context

Child of L2-TCS-CTRL in the Active Thermal Control System

Principles

Typical implementations

Lunar considerations

Specifications

Functional

primary functionModel-predictive controller optimizing thermal management over lunar day/night cycle horizon

Interfaces

Provides

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Lunar Ark Codex. "Model Predictive Thermal Controller" (L3-TCS-CTRL-MPC). Retrieved 10 September 2026, from https://lunarark.com/entry/L3-TCS-CTRL-MPC

Licensed CC-BY-SA 4.0. You may reuse and adapt this entry with attribution, under the same licence.

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