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An experimental study on the optimization of controller gains for an electro-hydraulic servo system using evolution strategies

机译:利用进化策略优化电液伺服系统控制器增益的实验研究

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This paper deals with an experimental optimization problem of the controller gains for an electro-hydraulic position control system through evolution strategies (ESs)-based method. The optimal controller gains for the control system are obtained by maximizing fitness function designed specially to evaluate the system performance. In this paper, for an electro-hydraulic position control system which would represent a hydraulic mill stand for the roll-gap control in plate hot-rollings, the time delay controller (TDC) is designed, and three control parameters of this controller are directly optimized through a series of experiments using this method. It is shown that the near-optimal value of the controller gains is obtained in about 5th generation, which corresponds to approximately 150 experiments. The optimal controller gains are experimentally confirmed by inspecting the fitness function topologies that represent system performance in the gain spaces. It is found that there are some local optimums on a fitness function topology so that the optimization of the three control parameters of a TDC by manual tuning could be a task of great difficulty. The optimized results via the ES coincide with the maximum peak point in topologies. It is also shown that the proposed method is an efficient scheme giving economy of time and labor in optimizing the controller gains of fluid power systems experimentally.
机译:本文通过基于进化策略(ESs)的方法解决了电动液压位置控制系统控制器增益的实验优化问题。通过最大化专门设计用于评估系统性能的适应度函数,可以获得控制系统的最佳控制器增益。在本文中,对于代表液压轧机机架的电动液压位置控制系统,该系统用于控制板坯热轧中的辊隙,设计了时延控制器(TDC),并直接控制了该控制器的三个控制参数通过使用此方法的一系列实验进行了优化。结果表明,在大约第5代中获得了控制器增益的接近最佳值,这大约相当于150次实验。通过检查代表增益空间中系统性能的适应度函数拓扑,实验确定了最佳控制器增益。发现在适应度函数拓扑上存在一些局部最优,因此通过手动调整来优化TDC的三个控制参数可能是一项艰巨的任务。通过ES的优化结果与拓扑中的最大峰值一致。还表明,所提出的方法是一种有效的方案,其在实验上优化流体动力系统的控制器增益方面节省了时间和劳力。

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