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为实现基于光诱导介电泳的微粒子自动化操纵,设计了基于改进人工势场的缩微光图案路径规划方法.针对传统人工势场的局部极小问题,给出一种新的局部极小判别准则.在此基础上提出导引目标和点障碍相结合的方法来脱离局部极小点,并将改进后的人工势场算法集成于基于光诱导介电泳的微纳米生物粒子操纵平台中,进行微粒子操纵实验.结果表明,该方法充分发挥了势场法的优势,对密集障碍环境稳定性强,能够实现微纳米粒子的安全实时操纵,从而降低了人工操纵难度,提高了微操纵效率.
In order to realize the automatic manipulation of microparticles based on photoinduced dielectrophoresis, a path planning method based on the improved artificial potential field is proposed. Aiming at the local minimum problem of artificial potential field, a new local minimum criterion is proposed. On this basis, a combination of guidance target and point obstacle is proposed to get rid of local minima, and the improved artificial potential field algorithm is integrated into micro-nano particle control platform based on light-induced dielectrophoresis. The experimental results show that this method gives full play to the advantages of the potential field method and has strong environmental stability against dense obstacles and can realize safe and real-time manipulation of micro-nano particles, thereby reducing the difficulty of manual operation and improving the micro-manipulation efficiency.