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Strategic Study of CAE >> 2001, Volume 3, Issue 11

Experiments on a Secondary Regulated Loading System

1. Department of Instrumentation Engineering, Shanghai Jiaotong University, Shanghai 200030, China

2. Department of Mechanical Engineering, Harbin Institute of Technology, Harbin 150001, China

Received: 2001-04-25 Revised: 2001-07-18 Available online: 2001-11-20

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Abstract

With secondary regulation, a novel hydraulic transmission technology, the secondary regulated loading system described here is oriented to rotational speed experiment of reduction gear or material. In this paper, the hardware structure of the system is introduced with specialties of the transducers, electro-hydraulic servo valves and the computer data collector used. Then, signal-adjusting circuit between computer control system and transducers or servo valves is designed. Next, a VC+ + control program under Windows operating system is worked out. Experiments on Step, Rectangle, Ramp and Sine Responses of the speed sub-system are done under alternative oil pressure and load. Finally, some meaningful results are given by contrasting the experimental curves.

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References

[ 1 ] 战兴群, 张炎华, 赵克定.重力负载条件下二次调节技术的静态调速特性[J].上海交通大学学报, 2001, 35 (5) :721~724

[ 2 ] 战兴群, 张炎华, 赵克定.恒转矩负载条件下二次调节技术的静态调速特性[J].机床与液压, 2001, (3) :49~51

[ 3 ] 战兴群, 张炎华, 赵克定.二次调节扭矩加载系统动态特性的研究[J].中国工程科学, 2000, 2 (7) :47~54 link1

[ 4 ] 战兴群, 张炎华, 赵克定.静液驱动二次调节扭矩加载装置解耦控制[J].上海交通大学学报, 2000, 34 (11) :1501~1503 link1

[ 5 ] 战兴群, 张炎华, 赵克定.静液驱动二次调节扭矩加载装置的硬件解耦方法[J].上海交通大学学报, 2001, 34 (11) :1497~1500 link1

[ 6 ] ZhanXQ , ZhaiCR , ZhaoKD .NeuraloptimizedTAKAGI SUGENOmodelcontrolforelectro hydraulicservosystems[A].ProceedingsofIEEEInternationalConferenceonIntelligentEngineeringSystems[C], Vi enna, Austria, Sept1998.223~227

[ 7 ] 战兴群, 翟传润, 赵克定.基于神经网络学习控制的液压转台偏载干扰的抑制[J].中国惯性技术学报, 1998, 6 (4) :109~112 link1

[ 8 ] ZhanXQ , ZhaoKD , WuSL .Iterativelearningcon trolfornonlinearsystemsbasedonneuralnetworks[A].ProceedingsoftheIEEEFirstInternationalCon ferenceonIntelligentProcessingSystems[C], Beijing, China, Oct1997.517~520

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