Avionics & Guidance, Navigation, and Control
Situated in Arizona, the Creamer Avionics Center is Analex Laboratories' 165,000-square-foot facility dedicated to advancing aerospace avionics, navigation, and guidance, navigation, and control (GNC) systems. The center's cutting-edge capabilities focus on multi-sensor resilient navigation, hardware-in-the-loop validation, autonomous systems for urban air mobility, certifiable machine-learning avionics, and advanced fly-by-wire flight control architectures.
Creamer Avionics Center
Analex Laboratories proudly introduces the Creamer Avionics Center, a state-of-the-art research and development facility situated in Arizona that serves as a beacon of innovation in the field of aerospace avionics and guidance, navigation, and control systems. Creamer represents a strategic commitment to advancing the foundational technologies that enable modern aircraft to perceive, decide, and navigate with unprecedented precision and autonomy. As a non-profit research consortium, the facility operates at the intersection of computational science, sensor technology, and control theory, bringing together multidisciplinary teams of engineers, computer scientists, and systems architects to tackle the most complex challenges in aerospace GNC. The center's mission centers on front-end development activities, emphasizing conceptual design, algorithm development, system integration, and rigorous validation testing rather than production-scale manufacturing.
The Creamer facility spans approximately 165,000 square feet of purpose-built research infrastructure, architecturally engineered to support the unique demands of avionics development and validation. The building is organized into specialized zones that facilitate the complete research lifecycle, from initial algorithm conceptualization through hardware-in-the-loop validation and full-system integration testing. The facility features advanced electromagnetic shielding throughout designated areas to enable sensitive RF and navigation system testing without external interference. The computational infrastructure includes high-performance computing clusters dedicated to real-time simulation, machine learning model training, and massive dataset processing. The heart of Creamer is its comprehensive simulation and testing complex, which houses multiple flight simulation bays, hardware-in-the-loop laboratories, sensor characterization facilities, and an anechoic chamber for electromagnetic compatibility testing. The facility also maintains a dedicated outdoor testing range with precisely surveyed ground control points and instrumentation for validating navigation algorithms in real-world conditions.
Creamer's technical capabilities are anchored by an extensive array of specialized equipment designed to support the full spectrum of avionics research and development activities. The facility maintains multiple motion-based flight simulation platforms capable of six-degree-of-freedom motion, providing realistic inertial cues for pilot-in-the-loop and autonomous system testing. The hardware-in-the-loop laboratories feature real-time simulation systems with microsecond-level latency, enabling the integration of actual flight control hardware with high-fidelity vehicle and environment models. The sensor testing infrastructure includes multi-constellation global navigation satellite system simulators capable of generating signals from multiple satellite constellations with programmable atmospheric and interference conditions, high-precision inertial measurement unit calibration tables, and advanced optical testing equipment for vision-based navigation systems. The facility also houses electromagnetic compatibility testing chambers, thermal vacuum chambers for environmental stress testing of avionics components, and precision timing laboratories with atomic clock references for navigation system validation. The prototyping capabilities include rapid electronics fabrication facilities, 3D printing systems for creating custom sensor housings and mounting systems, and extensive electrical test equipment for circuit validation and debugging.
The operational methodology at Creamer emphasizes a rigorous systems engineering approach that bridges theoretical research and practical implementation. Research teams engage in algorithm development and refinement using high-fidelity simulation environments before transitioning to hardware-in-the-loop testing with actual avionics components. The facility supports extensive data collection and analysis activities, with dedicated data infrastructure capable of storing and processing petabytes of flight test and simulation data. The integration laboratories enable the systematic assembly and testing of complex multi-sensor navigation systems, flight control computers, and guidance algorithms. Creamer's testing protocols encompass functional verification, performance characterization, environmental stress testing, and electromagnetic compatibility validation. The facility maintains strict quality assurance processes aligned with aerospace certification standards, ensuring that research developments are traceable, verifiable, and positioned for future certification pathways. The collaborative environment at Creamer encourages partnerships with academic institutions, industry partners, and regulatory bodies, facilitating the transfer of research innovations into practical aerospace applications.
Cutting-Edge Specialties
- Multi-Sensor Fusion and Resilient Navigation
Creamer maintains a leading research program focused on developing advanced sensor fusion architectures that combine inputs from multiple navigation sources to achieve robust positioning in challenging environments. This specialty encompasses the integration of global navigation satellite system receivers, inertial measurement units, vision-based sensors, LiDAR systems, and radar altimeters into cohesive navigation solutions. Researchers at Creamer are developing hybrid federated fusion architectures that utilize both traditional estimation techniques and modern machine learning approaches to maintain navigation accuracy during GNSS outages or degraded signal conditions. The work addresses critical challenges in urban air mobility applications where satellite signals may be obstructed by buildings or subject to multipath interference, aiming to achieve centimeter-level positioning accuracy with 95th percentile errors below one meter even in degraded conditions.
- Hardware-in-the-Loop Simulation and Validation
The facility operates a comprehensive hardware-in-the-loop testing program that enables the validation of flight control systems and avionics hardware under realistic operational conditions before airborne testing. This specialty involves developing high-fidelity real-time simulation environments that accurately model aircraft dynamics, atmospheric conditions, sensor behaviors, and actuator responses with microsecond-level timing precision. Creamer's HIL capabilities support the testing of flight control computers, navigation systems, and autonomous decision-making algorithms in closed-loop configurations with actual hardware components. The research focuses on developing automated testing frameworks that can execute thousands of test scenarios, including edge cases and failure modes, to comprehensively validate system behavior. This approach significantly reduces development risk and cost while accelerating the path from prototype to flight-ready systems.
- Autonomous Guidance and Control for Urban Air Mobility
Recognizing the transformative potential of urban air mobility, Creamer has established a dedicated research thrust focused on developing guidance, navigation, and control systems specifically tailored for autonomous and semi-autonomous operations in complex urban environments. This specialty encompasses the development of trajectory planning algorithms that account for dynamic obstacles, weather conditions, and airspace constraints, as well as control systems optimized for the unique flight dynamics of vertical takeoff and landing aircraft. The research addresses critical challenges including detect-and-avoid capabilities, precision landing in GPS-denied environments, and coordination algorithms for managing multiple aircraft in dense urban airspace. The facility's outdoor testing range and simulation capabilities enable comprehensive validation of these systems under realistic operational scenarios.
- Machine Learning-Enabled Avionics and Flight Control
Creamer is at the forefront of developing certifiable artificial intelligence and machine learning systems for aerospace applications, addressing one of the most significant emerging areas in avionics research. This specialty focuses on creating neural network architectures and training methodologies suitable for safety-critical flight control and navigation functions, including vision-based obstacle detection, predictive maintenance algorithms, and adaptive control systems. The research emphasizes developing explainable and verifiable machine learning systems that can meet rigorous aerospace certification standards, including approaches for training data validation, algorithm locking before deployment, and comprehensive validation testing. The facility maintains extensive datasets and computational resources for training and validating machine learning models, with particular emphasis on computer vision applications for terrain recognition, obstacle detection, and navigation in visually degraded conditions.
- Advanced Flight Control Systems and Fly-by-Wire Architecture
The facility maintains an active research program in developing next-generation flight control systems that enhance aircraft handling qualities, improve operational safety, and enable new operational concepts. This specialty encompasses the design of digital fly-by-wire architectures, fault-tolerant control systems, and envelope protection algorithms that prevent aircraft from exceeding safe operating limits. Researchers at Creamer are exploring adaptive and reconfigurable control systems that can automatically adjust to changing flight conditions, system failures, or aircraft configuration changes. The work includes developing model-based design methodologies, formal verification techniques for control law validation, and comprehensive testing protocols that ensure control system robustness across the entire operational envelope. The research addresses both traditional fixed-wing aircraft and the unique control challenges presented by novel configurations such as tiltrotor and multirotor urban air mobility vehicles.