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Optimal fractional order proportional and integral controller for processes with random time delays.

机译:具有随机时间延迟的最优分数阶比例和积分控制器。

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摘要

This thesis developed a new practical tuning method for fractional order proportional and integral controllers (FO-PI/PIalpha) for varying time-delay systems like networked control systems (NCS), sensor networks, etc. Based on previously proposed FO-PI controller tuning rules using fractional Ms constrained integral gain optimization (F-MIGO), simultaneous maximization of the jitter margin and integrated time weighted absolute error (ITAE) performance for a set of hundred gain delay time-constant (KLT) systems having different time-constants and time-delay values are achieved. A multi-objective optimization algorithm is used to simultaneously maximize the ITAE factor and jitter margin of the plants at initial F-MIGO gain parameters. The new values of controller gain parameters are generalized to give a new set of optimal fractional order proportional integral (OFOPI) tuning rules such that the jitter margin and system performance of closed-loop KLT systems are maximized and yet the closed-loop feedback system is stable. This is further tested and verified by simulation techniques. Comparisons are made with other existing proportional integral derivative (PID) and fractional order proportional integral (PI) tuning rules to prove the efficiency of the new technique. It is further shown that OFOPI tuning rules perform better than traditional tuning methods for lag-dominated FOPDT systems, because it can take the varying time-delay better into account. The tuning method is modified to work with discrete-time controllers in the context of NCSs. Furthermore, experimental results in a NCS platform, Stand-alone Smart Wheel (omnidirectional networked control robot wheel), are reported using the tuning rules developed in this thesis. The optimization tuning method performed almost equally well in practice as in simulations. The thesis also shows that the tuning rule development procedure for OFOPI is not only valid for FOPDT systems but is also applicable for other general classes of plants which could be reduced to first order plant systems. Temperature control in heat flow apparatus and water-level control in a coupled tank system using FO-PI tuning rules are other major contributions of this thesis work.
机译:本文针对分数阶比例和积分控制器(FO-PI / PIalpha),为诸如网络控制系统(NCS),传感器网络等变化的时滞系统,开发了一种新的实用调整方法。基于先前提出的FO-PI控制器调整使用分数Ms约束积分增益优化(F-MIGO)的规则,同时针对一组具有不同时间常数的100个增益延迟时间常数(KLT)系统,同时最大化抖动裕量和积分时间加权绝对误差(ITAE)性能。达到了延时值。多目标优化算法用于同时最大化初始F-MIGO增益参数下植物的ITAE因子和抖动裕量。通用化了控制器增益参数的新值,以提供一组新的最佳分数阶比例积分(OFOPI)调整规则,从而使闭环KLT系统的抖动容限和系统性能最大化,而闭环反馈系统却达到了最佳效果。稳定。这将通过仿真技术进一步测试和验证。与其他现有的比例积分微分(PID)和分数阶比例积分(PI)调整规则进行了比较,以证明新技术的效率。进一步表明,对于滞后为主的FOPDT系统,OFOPI调整规则的性能优于传统调整方法,因为它可以更好地考虑变化的时间延迟。修改了调整方法,以在NCS的上下文中与离散时间控制器一起使用。此外,使用本文开发的调整规则,报告了在NCS平台独立智能轮(全向网络控制机器人轮)上的实验结果。在实践中,优化调整方法的表现几乎与模拟一样好。论文还表明,针对OFOPI的调整规则制定程序不仅适用于FOPDT系统,而且适用于其他一般类别的工厂,这些工厂可以简化为一阶工厂系统。本论文工作的其他主要贡献是热流装置中的温度控制和使用FO-PI调整规则的耦合罐系统中的水位控制。

著录项

  • 作者

    Bhambhani, Varsha.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Engineering Electronics and Electrical.;Engineering Robotics.;Engineering System Science.
  • 学位 M.S.
  • 年度 2009
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;系统科学;
  • 关键词

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