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激光扫描系统受到机械抖振和环境扰动的干扰,容易产生控制误差,为了提高激光扫描精度,提出基于LM-Smith神经网络反馈跟踪控制的激光扫描系统误差校正算法。首先构建激光扫描系统的控制对象模型,在Terminal滑模面中采用动态规划法进行误差积累最优控制,把误差校正问题转化为线性二次型问题;然后构建LM-Smith神经网络控制器,进行误差自适应动态校正跟踪控制,通过状态反馈构成闭环系统,提高校正的实时性和准确性;最后进行激光扫描的误差校正测试。仿真试验结果表明,该方法可增强激光扫描系统的误差控制能力,降低小扰动条件下的误差偏移,提高扫描精度。
Laser scanning system is disturbed by mechanical chattering and environmental disturbances, which easily lead to control error. In order to improve laser scanning accuracy, an error correction algorithm of laser scanning system based on LM-Smith neural network feedback tracking control is proposed. Firstly, the control object model of the laser scanning system is constructed, the dynamic programming method is used to optimize the error accumulation in the terminal sliding surface, and the error correction problem is transformed into a linear quadratic problem. Then, LM-Smith neural network controller is constructed Error adaptive dynamic correction tracking control, the state feedback formed a closed-loop system to improve the real-time correction and accuracy; Finally, laser scanning error correction test. The simulation results show that this method can enhance the error control ability of the laser scanning system, reduce the error offset under small disturbance and improve the scanning accuracy.