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APPLICATIONS OF SELF-TUNING PID-CONTROLLERS.

机译:自整定PID控制器的应用。

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摘要

Because of its simplicity and robustness conventional PID control still predominates in process industry and a wide range of applications. However, the classical methods for tuning PID-controllers have the disadvantages of being time consuming and requiring open-loop experiments. Other proposed approaches require using an intentional step response to determine the controller parameters. This dissertation applies the recently developed adaptive control concept to investigate the self-tuning PID-controller which can adjust the controller parameters on-line and is especially useful for the applications for which the use of an intentional step test is undesirable.; For systems represented by a second-order model, a recursive parameter estimation algorithm is used to estimate the system parameters on-line and the estimated system parameters are used to compute the PID-controller parameters based on pole-placement design method. Thus, by updating the system parameters the controller can then adjust its parameters in response to changes of operating conditions.; Since PID-control is usually designed for a class of control systems to track constant setpoints, during the steady-state the lack of persistent excitation of plant inputs and outputs could pose a problem for parameter estimation. Remedies like the dead-zone scheme are discussed. Due to the PID-control structure and the pole-placement design method the self-tuning technique theoretically is limited to only second-order system models. Thus, another problem involves reduced-order modelling. In this dissertation, a technique of information filtering is proposed in which the plant inputs and outputs are filtered prior to their use in determining the adapted system and controller parameters. This modification can then provide an improvement in the robustness of the adaptive controller to unmodelled plant dynamics.; Finally, applications of self-tuning PID-controllers implemented on a microcomputer for controlling the left ventricular assist device and the total artificial heart are studied. The performance of the developed system has been demonstrated by in vitro experiments on a mock circulatory system and promising results have been obtained.
机译:由于其简单性和鲁棒性,常规的PID控制仍然在过程工业和广泛的应用中占主导地位。但是,用于调节PID控制器的经典方法具有耗时且需要开环实验的缺点。其他提出的方法需要使用故意的阶跃响应来确定控制器参数。本文运用最新开发的自适应控制概念研究了可在线调节控制器参数的自整定PID控制器,对于不希望使用有目的阶跃试验的应用特别有用。对于以二阶模型表示的系统,使用递归参数估计算法在线估计系统参数,并使用估计的系统参数基于极点布置设计方法计算PID控制器参数。因此,通过更新系统参数,控制器可随后响应于工作条件的变化来调整其参数。由于PID控制通常是为一类控制系统设计的,以跟踪恒定的设定值,因此在稳态期间,缺乏对工厂输入和输出的持续激励会给参数估计带来问题。讨论了诸如死区方案之类的补救措施。由于PID控制结构和极点布置设计方法,自整定技术在理论上仅限于二阶系统模型。因此,另一个问题涉及降阶建模。在本文中,提出了一种信息过滤技术,其中在工厂输入和输出用于确定适应的系统和控制器参数之前对其进行过滤。然后,这种修改可以改善自适应控制器对未建模植物动力学的鲁棒性。最后,研究了在微计算机上实现的自整定PID控制器在控制左心室辅助装置和整个人工心脏方面的应用。通过在模拟循环系统上的体外实验证明了所开发系统的性能,并获得了可喜的结果。

著录项

  • 作者

    WANG, JIUN-CHUNG.;

  • 作者单位

    University of Houston.;

  • 授予单位 University of Houston.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:51:06

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