This research paper presents the design and implementation of a coolant control system that leverages the capabilities of STM32 microcontrollers, a stepper motor, temperature sensor, and Analog-to-Digital Converter (ADC) with Direct Memory Access (DMA).The system's primary objective is to regulate the temperature of a specific environment by controlling the flow of coolant.This is achieved through a closed-loop control system that continuously monitors the temperature and adjusts the coolant flow rate in real-time to maintain the desired temperature setpoint.The system architecture consists of two STM32 microcontrollers, interconnected via a Controller Area Network (CAN) [4] bus, providing a modular and scalable approach to temperature control.The first microcontroller is responsible for temperature sensing using a precision temperature sensor, while the second microcontroller controls the stepper motor, which modulates the coolant flow.The ADC and DMA peripherals ensure efficient data acquisition and processing.The research includes a detailed description of the hardware and software components, emphasizing the utilization of the STM32 microcontrollers'[8] capabilities for real-time control.The software is designed to receive temperature setpoint commands through the CAN bus and execute precise coolant flow adjustments based on the feedback from the temperature sensor.Experimental results demonstrate the system's effectiveness in maintaining temperature stability within defined tolerances.The paper also discusses the advantages of using STM32 microcontrollers, such as their real-time processing capabilities and robust communication via CAN.The implementation's scalability and adaptability for various cooling applications are highlighted.This research contributes to the field of embedded systems and automation by showcasing a practical application of microcontroller-based temperature control.The findings offer insights for engineers and researchers interested in similar control systems for industrial or laboratory settings.
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Nimbalkar et al. (2024) studied this question.
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