Scaling Test Systems with FreeRTOS and Relay Matrix Design
π Background: The Need for Scalable Test Infrastructure #
Modern manufacturing and maintenance environments increasingly demand high-throughput, multi-point testing. Traditional single-channel or low-channel instruments struggle to meet these requirements without costly custom fixtures or inefficient sequential measurement workflows.
A 2026 study proposes a pragmatic alternative: extending existing test equipment into a scalable multi-channel system using a relay matrix controlled by a FreeRTOS-based embedded platform. The approach preserves existing instrumentation while enabling deterministic, high-density test expansion.
π§© Design Objectives and Approach #
The system is designed around four core principles:
- Non-intrusive integration β No modification to the original tester or device under test (DUT)
- Scalability β Channel count increases linearly with available GPIO resources
- Deterministic behavior β Real-time scheduling ensures predictable switching and measurement timing
- Cost efficiency β Use of commodity components and minimal hardware complexity
The result is a modular expansion unit that interfaces with the host system over a CAN bus while controlling a relay-based switching matrix.
ποΈ System Architecture #
The overall architecture consists of three primary subsystems:
- Control Unit β An STM32F107VCT6 microcontroller managing relay states and communication
- Communication Interface β CAN bus via a dedicated transceiver for robust host interaction
- Switching Matrix β Relay network that dynamically routes measurement paths
In a typical four-wire measurement setup, each channel uses paired relays to switch both force and sense lines. The relay matrix effectively acts as a deterministic analog multiplexer controlled in real time.
βοΈ Hardware Design #
The hardware platform emphasizes simplicity and reliability:
- Microcontroller β STM32F107VCT6 with sufficient GPIO density and integrated CAN controller
- Relay Network β Low-power signal relays configured as SPDT pairs for flexible routing
- Driver Stage β Darlington transistor array for reliable relay actuation
- Communication β Standard CAN interface operating at typical industrial bit rates
This configuration supports dozens of channels without requiring specialized switching ICs or programmable logic devices. The design can be scaled further by expanding GPIO or cascading multiple units.
π Software Architecture with FreeRTOS #
Managing multi-channel switching, communication, and system health requires structured concurrency. FreeRTOS provides a deterministic scheduling model that simplifies this complexity.
Task Decomposition #
The firmware is organized into dedicated tasks:
- Initialization Task β Creates system resources and transitions control to operational tasks
- Status Task β Provides heartbeat indication for system monitoring
- State Machine Task β Executes diagnostics and relay verification routines
- Application Task β Handles command processing and relay control logic
This separation ensures clear responsibility boundaries and predictable execution timing.
Data Handling Strategy #
Incoming CAN messages are stored using a dynamically managed singly linked list:
struct CAN_CONNIF {
uint8_t CAN_input_addr;
uint8_t CAN_input_data;
struct CAN_CONNIF *next;
};
This structure enables efficient insertion and removal with minimal memory overhead, making it well-suited for embedded environments with constrained resources.
Control Logic #
A flag-driven state machine coordinates system behavior:
- Parses incoming commands
- Updates relay states deterministically
- Generates acknowledgments to the host
This approach avoids blocking operations and ensures responsiveness under continuous command streams.
π Communication Protocol #
The system defines a compact and extensible CAN command set:
- Global Control β Reset or set all relays
- Diagnostic Mode β Execute full relay self-test
- Single Channel Control β Operate individual relays
- Group Operations β Control relay arrays with optional masking
This minimal protocol reduces parsing overhead while providing sufficient flexibility for complex test scenarios.
π§ͺ Validation and Measurement Accuracy #
The system was evaluated using a resistance measurement setup spanning a wide range of values. Key observations include:
- Measurement error remained below 0.2% across tested scenarios
- Low-resistance measurements maintained acceptable accuracy margins
- Continuous operation demonstrated stable task scheduling and communication reliability
End-to-end validation confirmed correct data flow from host to controller, through the relay matrix, and back to the measurement system.
π Engineering Advantages #
The proposed design offers several practical benefits:
- Scalable channel expansion without redesigning test instruments
- Deterministic timing behavior enabled by RTOS scheduling
- Low implementation cost using standard components
- Maintainable software architecture with clear task separation
These characteristics make the solution suitable for both production environments and laboratory automation.
π Future Extensions #
The architecture provides a foundation for further enhancements:
- Integration with higher-speed interfaces (e.g., Ethernet-based control)
- Expansion to mixed-signal or multi-parameter measurement systems
- Incorporation of fault detection and predictive maintenance logic
As test requirements continue to grow in complexity, such modular and RTOS-based designs will play a key role in enabling flexible and future-proof validation systems.
This work demonstrates that scalable, high-channel-count testing can be achieved without replacing existing equipmentβby combining disciplined embedded design with practical hardware abstraction.