Research on Control Strategy of Agricultural Robot Based on Particle Swarm Optimization Algorithm
It first introduces the concept of particle swarm optimization algorithm,and then analyzes and studies the opti-mization constraint model of agricultural robots from the mathematical model,boundary constraints and environmental con-straints.It finally realizes the dynamic obstacle avoidance and path planning of agricultural robots.The simulation experi-ment showed that the agricultural robot can carry out the optimal obstacle avoidance path planning for the complex work-ing environment,and the algorithm convergence speed was fast,which can meet the design requirements and prove that the system has certain feasibility.
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