2021
DOI: 10.1155/2021/9918988
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Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

Abstract: A multiparameter control strategy and method for the cutting arm of a roadheader is proposed through the operation analysis of roadheader. The method can address the problems of low intelligence and low cutting efficiency faced by the roadheader in the cutting process. The control strategy is divided into two parts: the cutting load identification part and the swing speed control part. The former part is designed using a backpropagation neural network that is optimized by an improved particle swarm optimizatio… Show more

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Cited by 3 publications
(1 citation statement)
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“…Ma et al 19 analysed the research status of intelligent excavation at home and abroad and proposed a shape cutting control method based on vision technology and an adaptive cutting control method based on genetic algorithm optimization for intelligent cutting. Wang et al 20 took the current of the cutting motor, the vibration acceleration of the cutting arm and the pressure of the hydraulic cylinder as the judgement basis for load identification, used the improved BP neural network algorithm of particle swarm optimization to determine the cutting load, and completed the swing speed control of the cutting arm through the improved simulated annealing particle swarm optimization (ISAPSO) fuzzy PID controller. Thus, the adaptive control of the roadheader can be realized.…”
mentioning
confidence: 99%
“…Ma et al 19 analysed the research status of intelligent excavation at home and abroad and proposed a shape cutting control method based on vision technology and an adaptive cutting control method based on genetic algorithm optimization for intelligent cutting. Wang et al 20 took the current of the cutting motor, the vibration acceleration of the cutting arm and the pressure of the hydraulic cylinder as the judgement basis for load identification, used the improved BP neural network algorithm of particle swarm optimization to determine the cutting load, and completed the swing speed control of the cutting arm through the improved simulated annealing particle swarm optimization (ISAPSO) fuzzy PID controller. Thus, the adaptive control of the roadheader can be realized.…”
mentioning
confidence: 99%