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圆网喷蜡制网机
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作者 许光明 《中国科技成果》 2004年第5期33-33,共1页
关键词 喷蜡 印染业 制网速度 使用寿命
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Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm 被引量:10
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作者 周鲜成 赵志学 +1 位作者 周开军 贺彩虹 《Journal of Central South University》 SCIE EI CAS 2012年第2期482-487,共6页
As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of c... As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms. 展开更多
关键词 genetic particle swarm optimization closed-loop supply chain REMANUFACTURING network design reverse logistics
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Traffic jam in signalized road network 被引量:1
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作者 祁宏生 王殿海 +1 位作者 陈鹏 别一鸣 《Journal of Central South University》 SCIE EI CAS 2014年第2期832-842,共11页
Traffic jam in large signalized road network presents a complex nature.In order to reveal the jam characteristics,two indexes,SVS(speed of virtual signal) and VOS(velocity of spillover),were proposed respectively.SVS ... Traffic jam in large signalized road network presents a complex nature.In order to reveal the jam characteristics,two indexes,SVS(speed of virtual signal) and VOS(velocity of spillover),were proposed respectively.SVS described the propagation of queue within a link while VOS reflected the spillover velocity of vehicle queue.Based on the two indexes,network jam simulation was carried out on a regular signalized road network.The simulation results show that:1) The propagation of traffic congestion on a signalized road network can be classified into two stages:virtual split driven stage and flow rate driven stage.The former stage is characterized by decreasing virtual split while the latter only depends on flow rate; 2) The jam propagation rate and direction are dependent on traffic demand distribution and other network parameters.The direction with higher demand gets more chance to be jammed.Our findings can serve as the basis of the prevention of the formation and propagation of network traffic jam. 展开更多
关键词 traffic engineering network traffic jam virtual signal traffic control
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A novel speed sensor-less direct torque control system for mining locomotive haulage
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作者 马宪民 《Journal of Coal Science & Engineering(China)》 2002年第1期91-95,共5页
A novel speed sensor-less direct torque control induction motor drive system for the mining locomotive haulage is presented in the paper. Rotor speed identification is based on the model reference adaptive control the... A novel speed sensor-less direct torque control induction motor drive system for the mining locomotive haulage is presented in the paper. Rotor speed identification is based on the model reference adaptive control theory with neural network using back propagation algorithm. The system is implemented using a real-time TMS320F240 digital signal processor. The simulation study and experiment results indicate that the suggested system has good performance. 展开更多
关键词 locomotive haulage direct torque control speed sensor-less neural network
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Dynamic Velocity Feed-Forward Compensation Control with RBF-NN System Identification for Industrial Robots 被引量:1
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作者 宋伟科 肖聚亮 +1 位作者 王刚 王国栋 《Transactions of Tianjin University》 EI CAS 2013年第2期118-126,共9页
A dynamic velocity feed-forward compensation (RBF-NN) dynamic model identification was presented for control (DVFCC) approach with RBF neural network the adaptive trajectory tracking of industrial robots. The prop... A dynamic velocity feed-forward compensation (RBF-NN) dynamic model identification was presented for control (DVFCC) approach with RBF neural network the adaptive trajectory tracking of industrial robots. The proposed control approach combined the advantages of traditional feedback closed-loop position control and computed torque control based on inverse dynamic model. The feed-forward compensator used a nominal robot dynamics as accurate dynamic model and on-line identification with RBF-NN as uncertain part to improve dynamic modeling accu- racy. The proposed compensation was applied as velocity feed-forward by an inverse velocity controller that can con- vert torque signal into velocity in the standard industrial controller. Then, the need for a torque control interface was avoided in the real-time dynamic control of industrial robot. The simulations and experiments were carried out on a gas cutting manipulator. The results show that the proposed control approach can reduce steady-state error, suppress overshoot and enhance tracking accuracy and efficiency in joint space and Cartesian space, especially under high- speed condition. 展开更多
关键词 dynamic velocity feed-forward compensation control RBF-NN inverse velocity controller gas cutting manipulator
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