In order to improve the availability of fault data, the fault data of heat meters had been classified, and balances all kinds of fault data according to interpolation algorithms to meet the needs of fault diagnosis al...
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In order to improve the availability of fault data, the fault data of heat meters had been classified, and balances all kinds of fault data according to interpolation algorithms to meet the needs of fault diagnosis algorithms. Based on the voting mechanism, an integrated model of multi classifier fusion is established, and the weight of each classifier is optimally configured through pigeon swarm algorithm. In the experiment, three kinds of integration models are obtained according to the voting mechanism and pigeon swarm algorithm. The three integrated models are used to diagnose the fault of the heat meter, and the three indicators of precision, recall and F1 Core have achieved satisfactory results.
In order to realize tight formation control of spherical robots, a formation control method of multi-spherical robot system was proposed based on optimization of pigeon swarm algorithm. Based on the kinematics model o...
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ISBN:
(纸本)9798350352634;9798350352627
In order to realize tight formation control of spherical robots, a formation control method of multi-spherical robot system was proposed based on optimization of pigeon swarm algorithm. Based on the kinematics model of spherical robots, the roles of spherical robots were divided into leader and follower. A PID controller was designed for stability control in x and y direction channels. According to the desired position and velocity, a corresponding fitness function is uniformly set to optimize the optimal parameters of the formation controller. Finally, the stable control of the multi-spherical robot formation is realized in the simulation environment.
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