Zhu Huixuan, Li Song, Zhu Runyang, Gao Feiyang, Yin Zhenyu, Liu Lianqing, Zheng Xiongfei
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Micromachines (Basel). 2024 Sep 26;15(10):1192. doi: 10.3390/mi15101192.
Piezoelectric inkjet printing technology, known for its high precision and cost-effectiveness, has found extensive applications in various fields. However, the issue of residual vibration significantly limits its printing quality and efficiency. This paper presents a method for suppressing residual vibration based on the particle swarm optimization (PSO) algorithm. Initially, an improved PI model considering the nonlinear hysteresis characteristics of piezoelectric ceramics is established, and the model is identified through a strain gauge circuit to ensure its accuracy in describing the nonlinear hysteresis characteristics. Subsequently, a dynamic model of the piezoelectric inkjet printing system is constructed, with precise parameter identification achieved using the self-induction principle. This enables precise simulation of residual vibration. Finally, the driving waveform is optimized based on the PSO algorithm, with iterative calculations employed to find the optimal combination of driving waveform parameters, effectively suppressing residual vibration while ensuring sufficient injection energy. The results indicate that this method significantly reduces the amplitude of residual vibration, thereby effectively enhancing printing quality and stability. This research offers a novel solution for residual vibration suppression in piezoelectric inkjet printing technology, potentially advancing its applications in printing and biofabrication.
压电喷墨打印技术以其高精度和成本效益而闻名，已在各个领域得到广泛应用。然而，残余振动问题严重限制了其打印质量和效率。本文提出了一种基于粒子群优化（PSO）算法的残余振动抑制方法。首先，建立了考虑压电陶瓷非线性滞后特性的改进PI模型，并通过应变片电路对模型进行辨识，以确保其在描述非线性滞后特性方面的准确性。随后，构建了压电喷墨打印系统的动力学模型，利用自感应原理实现精确的参数辨识，从而能够对残余振动进行精确仿真。最后，基于PSO算法对驱动波形进行优化，通过迭代计算寻找驱动波形参数的最优组合，在确保足够喷射能量的同时有效抑制残余振动。结果表明，该方法显著降低了残余振动的幅度，从而有效提高了打印质量和稳定性。本研究为压电喷墨打印技术中的残余振动抑制提供了一种新的解决方案，有望推动其在打印和生物制造领域的应用。
