（節(jié)選）外文翻譯--對(duì)采用進(jìn)化策略優(yōu)化電液伺服系統(tǒng)的控制器增益的實(shí)驗(yàn)性研究

1、中文 中文 4189 字 出處： 出處：Control Engineering Practice, 2006, 14(2): 137-147外文翻譯學(xué) 生 姓 名學(xué) 院 名 稱 機(jī) 電 工 程 學(xué) 院專 業(yè) 名 稱 機(jī) 械 設(shè) 計(jì) 制 造 及 其 自 動(dòng) 化指 導(dǎo) 教 師various factors (Merrit, 1976; Watton, 1989): the pressure-flow characteristics of v

2、alve, the saturation of valve and cylinder, the leakage flow characteristics of valve and cylinder with variation of supply pressure, the friction characteristic in cylinder, the variation of viscosity and compressibili

3、ty of working fluid with the temperature, the flow characteristic due to the shape of pipeline, and most importantly, the variation of the system gains with the supply pressure and the load pressure. Therefore, when the

4、se fluid power systems are controlled, the controller gains are adjusted on the foundation of expert’s intuitive knowledge about the system and the tuning experience of the controller gains in general. It needs very exce

5、ssive experiments through trial and error. But though some controller gains are obtained, it is hard to say that the results are the best gain set at a given situation. For the automatic adjustment of the controller gain

6、s in fluid power systems, the research to application of a fuzzy gain adapter (FGA) has been performed (Jeon, 1997; Klein, 1992). In this case, the knowledge base is needed for transplantation of the expert knowledge to

7、the systems, and some general rules to variation of the system response due to variation of the controller gains are demanded for the construction of this knowledge base. Therefore, much expert’s experiences and many exp

8、eriments are necessary for the implementation of this algorithm.In this study, evolution strategies (ESs) is proposed as a method of the automatic optimization of the controller gains in a electro-hydraulic system. ES is

9、 one of the evolutionary algorithms based on the natural genetics and the survival of the fittest (Rechenberg, 1973; Schwefel, 1981; Back & Schwefel, 1994, 1996). When an appropriate fitness function representing pot

10、ential solutions is given as survivability of candidates, the tuning problem of controller gains can be considered as an optimization problem, so that an optimal controller gain set is searched in the region of gain spac

11、es specified by operator. A major advantage is that much experience on the gain-tuning for the control system is not required, and the least information for the system is just required. Especially, in cases that a real e

12、xperimental system is directly used for evaluating candidates, ESs are more suitable than other evolution algorithms due to its own characteristic called self-adaptation.In this study, a time delay controller (TDC) is de

13、signed as a controller for position control of an electro-hydraulic servo system. The controller designed to have 2nd order error dynamics has three controller gains implicitly. By using an ES as optimization algorithms,

14、 the optimal controller gain set in the specified gain spaces is determined through online experiments. For the verification of the obtained results, the fitness function topologies in the gain spaces experimentally are