Electronic additive manufacturing technology holds significant application value in high-precision microelectronics manufacturing. However, the current printing modes suffer from droplet placement inaccuracies caused by speed fluctuations, which have long constrained the quality improvement of additive manufacturing for electronic components. To address this challenge, a collaborative control strategy based on LinuxCNC, termed "S-shaped speed planning + fixed-distance injection (SSP-FDI)," is proposed. By optimizing the traditional trapezoidal speed algorithm in numerical control systems into an S-shaped speed algorithm, mechanical shock is effectively reduced. Simultaneously, a fixed-distance triggering mode is adopted to control droplet spacing, mitigating the impact of speed fluctuations on placement accuracy. An experimental platform integrating five-axis motion control and electronic inkjet printing technology was independently developed, along with a corresponding control system. Comparative experiments involving multi-angle polylines and electrode printing were designed. Results demonstrate that compared to the "Trapezoidal Speed Planning + Fixed Frequency Injection (TSP-FFI)" mode, the SSP-FDI mode significantly reduces droplet placement errors. In a 20mm×20mm rectangular electrode printing experiment with a substrate temperature of 100°C, the maximum surface roughness of compensated electrodes decreased to Ra 6 μm. Across five substrate temperature groups, the roughness of printed samples showed an average reduction of 18.7%, and resistivity decreased by 14.4%. These findings indicate that the proposed LinuxCNC-based collaborative control strategy effectively enhances printing quality for complex trajectories, offering a novel technical solution for high-precision additive manufacturing of electronic devices.