A method of accuracy assignment based on fuzzy comprehensive judgment method (FCJM) in tank fire control system is proposed. From the flowing route of the error sources and their respective correlative signals, the tr...A method of accuracy assignment based on fuzzy comprehensive judgment method (FCJM) in tank fire control system is proposed. From the flowing route of the error sources and their respective correlative signals, the transfer functions of several sources are analysed by means of mathematic simulation, and FCJM is applied to obtain the cost comprehensive factor for each part of system, combining its error sensitivity factor the mathematical model is built to solve the accuracy assignment problem. Simulation result shows the proposed method can help designer of tank fire control system work out an optimal system more efficiently and more economically.展开更多
A method of accuracy assignment based on value analysis method （VAM） in tank fire control system （TFCS） is proposed. From the analysis of primary error sources and their error transfer relationships, the mathemati...A method of accuracy assignment based on value analysis method （VAM） in tank fire control system （TFCS） is proposed. From the analysis of primary error sources and their error transfer relationships, the mathematical model is built on the basis of VAM to solve the accuracy assignment problem. Simulation results show the validation and feasibility of the proposed method. It can help designer of tank fire control system work out an optimal system more efficiently and more economically.展开更多
Among the various soft actuators explored for robotic applications,the pneumatic muscle actua-tors(PMAs)stand out because of many advantages,such as compliant structures,high power-to-weight/volume ratios,and lightwei...Among the various soft actuators explored for robotic applications,the pneumatic muscle actua-tors(PMAs)stand out because of many advantages,such as compliant structures,high power-to-weight/volume ratios,and lightweight materials.Despite these advantages,their inherent nonlineari-ties and time-varying dynamics pose significant challenges for tracking control.To tackle this challenge,we present a robust control method that is structurally simple and computationally inexpensive.Such a method is comprised of an error transformation scheme,which is deeply explored to withstand model uncertainties to accomplish the output tracking with assigned accuracy,and a tuning function for relaxing requirements on the initial conditions.Experimental results of the PMA are presented to validate the concepts.展开更多
文摘A method of accuracy assignment based on fuzzy comprehensive judgment method (FCJM) in tank fire control system is proposed. From the flowing route of the error sources and their respective correlative signals, the transfer functions of several sources are analysed by means of mathematic simulation, and FCJM is applied to obtain the cost comprehensive factor for each part of system, combining its error sensitivity factor the mathematical model is built to solve the accuracy assignment problem. Simulation result shows the proposed method can help designer of tank fire control system work out an optimal system more efficiently and more economically.
文摘A method of accuracy assignment based on value analysis method （VAM） in tank fire control system （TFCS） is proposed. From the analysis of primary error sources and their error transfer relationships, the mathematical model is built on the basis of VAM to solve the accuracy assignment problem. Simulation results show the validation and feasibility of the proposed method. It can help designer of tank fire control system work out an optimal system more efficiently and more economically.
基金supported by the National Natural Science Foundation of China(52305569)the China Postdoctoral Science Foundation,China(2023M740940)+1 种基金the Innovation Team Project for Ordinary Universities in Guangdong Province(2024KCXTD041)program for scientific research start-upfunds of Guangdong Ocean University(060302062404).
文摘Among the various soft actuators explored for robotic applications,the pneumatic muscle actua-tors(PMAs)stand out because of many advantages,such as compliant structures,high power-to-weight/volume ratios,and lightweight materials.Despite these advantages,their inherent nonlineari-ties and time-varying dynamics pose significant challenges for tracking control.To tackle this challenge,we present a robust control method that is structurally simple and computationally inexpensive.Such a method is comprised of an error transformation scheme,which is deeply explored to withstand model uncertainties to accomplish the output tracking with assigned accuracy,and a tuning function for relaxing requirements on the initial conditions.Experimental results of the PMA are presented to validate the concepts.
