【摘要】 设计了基于HMM的语音识别处理算法，分析了植保无人机的结构与工作原理，并利用改进人工势场法对植保无人机的飞行控制和航行轨迹规划进行分析了研究。试验结果表明：语音控制控制准确度非常高，达到了90%及以上；植保无人机航行路径控制准确，能够成功避开障碍物，并动态规划最优飞行路径。更多还原

【Abstract】 It first designs a speech recognition processing algorithm based on HMM, then analyzes the structure and working principle of the plant protection UAV, and then analyzes and studies the flight control and navigation trajectory planning of the plant protection UAV by using the improved artificial potential field method. The experimental results show that:(1) the accuracy of voice control is very high, reaching 90% or more;(2) The navigation path control of plant protection UAV is accurate, and it can successfully avoid obstacles and dynamically plan the optimal flight path.更多还原