Multiparameter Control Strategy and Method for Cutting Arm of Roadheader | Zendy

Pengjiang Wang | Zendy; Yang Shen | Zendy; Xiaodong Ji | Zendy; Kai Zong | Zendy; Weixiong Zheng | Zendy; Dongjie Wang | Zendy; Miao Wu | Zendy

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Multiparameter Control Strategy and Method for Cutting Arm of Roadheader

Author(s) -

Pengjiang Wang,

Yang Shen,

Xiaodong Ji,

Kai Zong,

Weixiong Zheng,

Dongjie Wang,

Miao Wu

Publication year - 2021

Publication title -

shock and vibration

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.418

H-Index - 45

eISSN - 1875-9203

pISSN - 1070-9622

DOI - 10.1155/2021/9918988

Subject(s) - roadheader , particle swarm optimization , engineering , swing , control theory (sociology) , simulated annealing , control engineering , process (computing) , pid controller , robustness (evolution) , artificial neural network , computer science , control (management) , algorithm , artificial intelligence , temperature control , structural engineering , mechanical engineering , biochemistry , chemistry , gene , operating system

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 optimization algorithm. The latter part is optimally designed using a fuzzy PID controller with improved simulated annealing particle swarm optimization. The simulation analysis in SIMULINK showed that the response time was reduced, proving the robustness of the method. In addition, experimental studies verified the good control effect of the method under different cutting states. The proposed method uses multiparameter to intelligently change the swing speed, providing a theoretical and practical basis for the realization of intelligent and unmanned cutting of roadheader.

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