Deterministic Timer–DMA Motion Control for Embedded Hybrid CNC and Additive Manufacturing Systems

Hybrid CNC and additive manufacturing platforms often rely on host-assisted or otherwise overdimensioned control architectures to achieve deterministic multi-axis motion, increasing system cost and complexity. This paper presents a fully microcontroller-based timer–DMA motion execution architecture that eliminates the need for external processors or FPGA-based execution, enabling deterministic multi-axis synchronization under the tested conditions in a simpler, more cost-effective way. The proposed framework integrates motion planning, precise step-time computation, and hardware-assisted pulse generation within a unified embedded control architecture. The main novelty lies in the systematic use of timer and DMA peripherals to offload time-critical pulse execution from the microcontroller core, allowing it to focus on motion planning and precise step-time computation. Unlike segmentation-based approaches, the duration of each individual step is calculated directly without fixed-interval segmentation, enabling high motion resolution while avoiding per-step interrupts that introduce jitter at high motion speeds. The architecture was validated on a hybrid platform capable of both milling and material extrusion. Experimental results confirmed real-time feasibility within practical on-chip memory limits and demonstrated very small interpolation errors caused mainly by timer quantization, comparable to those observed in host-processor-based motion systems. Machining and additive-manufacturing experiments further confirmed stable execution and accurate trajectory tracking under real operating conditions.

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Publication Details

Journal
Electronics
Published
2026-04-25
DOI
https://doi.org/10.3390/electronics15091830
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Deterministic Timer–DMA Motion Control for Embedded Hybrid CNC and Additive Manufacturing Systems

Branislav Gerazov, Nikola Jovanovski, Josif Kjosev, Katerina Raleva
Electronics
Iterative Learning Control Systems
article

Deterministic Timer–DMA Motion Control for Embedded Hybrid CNC and Additive Manufacturing Systems

Branislav Gerazov, Nikola Jovanovski, Josif Kjosev, Katerina Raleva
article en

Abstract

Hybrid CNC and additive manufacturing platforms often rely on host-assisted or otherwise overdimensioned control architectures to achieve deterministic multi-axis motion, increasing system cost and complexity. This paper presents a fully microcontroller-based timer–DMA motion execution architecture that eliminates the need for external processors or FPGA-based execution, enabling deterministic multi-axis synchronization under the tested conditions in a simpler, more cost-effective way. The proposed framework integrates motion planning, precise step-time computation, and hardware-assisted pulse generation within a unified embedded control architecture. The main novelty lies in the systematic use of timer and DMA peripherals to offload time-critical pulse execution from the microcontroller core, allowing it to focus on motion planning and precise step-time computation. Unlike segmentation-based approaches, the duration of each individual step is calculated directly without fixed-interval segmentation, enabling high motion resolution while avoiding per-step interrupts that introduce jitter at high motion speeds. The architecture was validated on a hybrid platform capable of both milling and material extrusion. Experimental results confirmed real-time feasibility within practical on-chip memory limits and demonstrated very small interpolation errors caused mainly by timer quantization, comparable to those observed in host-processor-based motion systems. Machining and additive-manufacturing experiments further confirmed stable execution and accurate trajectory tracking under real operating conditions.

ElectronicsVol. 15(9)
Ss. Cyril and Methodius University in Skopje (MK)
Openalex Percentile: Top 5%
Iterative Learning Control Systems
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Deterministic Timer–DMA Motion Control for Embedded Hybrid CNC and Additive Manufacturing Systems — Branislav Gerazov, Nikola Jovanovski, et al. · Electronics (2026) | TGRS Research Map | TGRS