Integrated Vehicle Health Management System for Solid Rocket Motors

Transcription

1 Integrated Vehicle Health Management System for Solid Rocket Motors Presented by: Scott Hyde Orbital ATK Flight Systems Group 4-6 May, 2015 Passive Wireless Sensors Workshop Arlington, VA

2 Definitions Health Management the capability to make intelligent, informed, and appropriate decisions about the propulsion system based on diagnostic and prognostic information Diagnostics the process of determining the current state of a material, component, or system Sensors Support Diagnostics Prognostics the process of determining the future state of a material, component, or system IVHM Definitions and Applications Vary Significantly Between Propulsion Types and Uses

3 IVHM Application Regimes for SRMs Space Launch Propulsion Systems Strategic Propulsion Systems Tactical Propulsion Systems SENSOR TECHNOLOGY APPLICABLE IN Space Strategic Tactical External Environmental Monitoring X X X Production Process Creep X X X Transportation and Handling X X X Long Life Cycle Times (Storage) N/A >30 yrs >20 yrs Chemical Aging Mechanisms N/A X X Extreme Condition Monitoring/Cumulative Damage N/A N/A X Individual Motor Monitoring X X By batch Performance Verification and Validation X X X Real-Time Situational Awareness During Flight X N/A N/A Post-Flight Inspection/Process Creep N/A N/A N/A IVHM systems for Solid Rocket Motors (SRM) must be modular. Component may apply to pre-flight, flight, and/or post-flight depending on customer requirements. - Pre-Flight - Flight - Post-Flight

4 Operational View of Strategic Missile A&S

5 Problem Statement IVHM System Need Health monitoring of warfighting systems requires instrumentation that has minimal impact to the system s operation Self-calibrating, reconfigurable smart transducer nodes Flexible and reconfigurable instrumentation Digital data instrumentation and control system Data processing Instrumentation configuration and control Sensor data verification and conditioning Supports life cycle tests Operates using warfighting system s energy sources Minimal mass and size

6 Problem Statement (continued) S&T Challenge Develop reliable, long-term control and self-calibration (measured values +/-1% of actual values) for advanced programmable, smart transducer nodes e.g., voltage, current, strain, thermal, Linear Variable Displacement Transducer (LVDT), triaxial accelerometer, ultrasonic, or pressure sensors Develop real-time tools for smart transducer node control Programmable filtering/conditioning Analog (e.g., detect /adjust signal level; reduce noise through adaptive noise reduction) Digital (e.g., detect / filter white noise; reduce noise effects through adaptive frequency/ pattern cancellation) Integrate real-time awareness through an advanced subsystem controller capable of supporting multiple transducer nodes (>30) over high-speed networks using multiple communications protocols (e.g., Ethernet, Controller Area Network (CAN), , )

7 NI Subsystem Block Diagram STN IRIG 106 Non-intrusive Instrumentation (NII) Subsystem inet: gnet or rfnet Other DoD & Commercial Standards External Communication or other EI Bus Interfaces Subsystem Controller* (SC) (IEEE 1451:NCAP) Digital Communications Test Data Bus * (DCTDB) (inet: vnet) Smart Transducer Node (STN) Processor Module* (PM) (IEEE 1451:TIM) NI Smart Transducer Node (STN) Processor Module (PM) Self-Calibrating Sensor Module (SSM) Transducer Communication Interface (TCI) NI Subsystem Controller (SC) Digital Communication Test Data Bus (DCTBD) External Interfaces Transducer Communication Interface* (TCI) Self-Calibrating Sensor Module (SSM) Self-Calibrating Sensor Module (SSM) * - IEEE 1451 Smart Transducer Interface Standards address portions of these modules

8 Software Abstraction Model

9 Challenges Wireless Communications Safety Must be HERO compliant to zero inch safe standoff distance from energetic materials Wireless Communications Security Must comply with DoDI Risk Management Framework (RMF) Modular/Scalable/Adaptable System must accommodate 35+ years of changes in demand Bad Data Typically, bad data and data without context of source, meaning, or purpose are a greater problem than not having any data Technology Rate of Change The accelerating rate of change of new processors, memory, storage, operating systems, and networking technologies Database Architectures Current database technologies require information relationships to be defined in advance of a solution being deployed