A Design Of Multiloop Predictive Self‐Tuning Pid Controllers

In this paper, a new design scheme of multiloop predictive self‐tuning PID controllers is proposed for multivariable systems. The proposed scheme firstly uses a static pre‐compensator as an approximately decoupling device, in order to roughly reduced the interaction terms of the controlled object. The static matrix pre‐compensator is adjusted by an on‐line estimator. Furthermore, by regarding the approximately decoupled system as a series of single‐input single‐output subsystems, a single‐input single‐output PID controller is designed for each subsystem. The PID parameters are calculated on‐line based on the relationship between the PID control and the generalized predictive control laws. The proposed scheme is numerically evaluated on a simulation example.     

动态定量称重系统神经网络预测PID控制器研究

采用神经网络预测与PID控制理论相结合,为动态定量称重系统设计了一种神经网络预测PID控制器。该控制器算法简单,通过自学习、记忆功能在线调整PID控制参数KP、Kl、KD。建立了动态定量称重系统的仿真模型,将神经网络预测的PID控制与常规PID进行对比分析,神经网络预测PID控制器具有很好的控制效果。     

Pid Controller Design With Guaranteed Gain And Phase Margins

This paper considers the problem of designing PID controllers that achieve the guaranteed gain and phase margin specifications for a given but arbitrary single‐input single‐output plant. Using definitions of gain and phase margins, the given specifications are translated into simultaneous stabilization of two families of polynomials. Thereafter, an extension of the results of PID stabilization to the case of complex polynomials is shown to be useful in providing a solution to this simultaneous stabilization problem. A computational characterization of all admissible PID controllers is given. This characterization for all admissible PID controllers involves the solution of a linear programming problem. An example is presented to illustrate use of the design procedure in detail.     

一种改进的针对线性时不变单输入单输出系统的PID控制器

本文提出了一种提高PID控制器的稳定范围和控制精度的改进方法,即通过改变PID控制器的积分项结构,并给出了二阶系统控制对象达到渐进稳定时的相关参数方程。最后采用Ziegler-Nichols参数整定法对改进后的PID控制器和常规PID控制器进行了仿真,仿真结果表明控制效果明显提高。     

Design Of Robust Pid Controllers

In this paper, a new method is proposed to design the robust PID controllers for uncertain linear time‐invariant systems. We describe a simple and programming procedure for designing PID controllers by applying Kharitonov's theorem and LMI method. Such a controller enables the resulting control system to achieve robust stability as well as asymptotic tracking.     

模糊PID控制器的设计

传统的PID控制由于其独特的优势被广泛应用到了工业控制领域,但它需要知道被控对象的数学模型,这就使其在复杂控制领域的应用受到了限制,而模糊控制是建立在专家知识、经验上的一种控制策略,不需要知道被控对象的数学模型。本文就将这两种方法的优点有效地结合在了一起,设计了一种新的控制器。     

A Novel Robust Pid Controller Design By Fuzzy Neural Network

In this paper, we propose a robust PID controller tuning method for parametric uncertainty systems (or interval plant family) using fuzzy neural networks (FNNs). This robust controller is based on robust gain and phase margin (GM/PM) specifications that satisfy user requirements. Here, the FNN system is used to identify the relation between the PID controller parameters and robust GM/PM. We can use the trained FNN system to determine the parameters of the PID controllers in order to satisfy robust GM/PM specifications that guarantee robustness and performance. Simulation results are shown to illustrate the effectiveness of the robust controller scheme.     

水泥生料立磨压差的广义预测PID控制

针对立磨粉磨系统的非线性、大滞后、慢时变问题,设计了广义预测PID控制器(GPC-PID).通过构造广义预测控制目标函数中的控制加权序列使广义预测控制具有PID控制算法的结构,通过广义预测控制和PID的相互递推关系计算PID参数.仿真结果表明,广义预测PID控制能较好地稳定磨内压差,并且具有响应速度快、抗干扰性强、鲁棒性好等优点.     

Robust Controller Design And Pid Tuning For Multivariable Processes

In this paper, a robust controller design method is first formulated to deal with both performance and robust stability specifications for multivariable processes. The optimum problem is then dealt with using a loop‐shaping H_∞ approach, which gives a sub‐optimal solution. Then a PID approximation method is proposed to reduce a high‐order controller. The whole procedure involves selecting several parameters and the computation is simple, so it serves as a PID tuning method for multivariable processes. Examples show that the method is easy to use and the resulting PID settings have good time‐domain performance and robustness.     

具有比例积分结构的广义预测自校正控制器

本文通过对一般预测控制中目标函数的改进，导出了具有比例积分结构的广义预测自校正控制器，从而极大地改善了控制器性能。仿真结果表明了该算法的有效性，对促进自校正控制器在工业中的应用具有一定意义。     

Optimum Design of Fractional Order Pid Controller Using Chaotic Firefly Algorithms for a Control CSTR System

A fractional‐order PID controller is a generalization of a standard PID controller using fractional calculus. Compared with the standard PID controller, two adjustable variables, “differential order” and “integral order”, are added to the PID controller. Fractional‐order PID is more flexible, has better responses, and the precise adjustment closed‐loop system stability region is larger than that of a classic PID controller. But the design and stability analysis is more complicated than for the PID controller. Therefore, the optimal setting of parameters is very important. A firefly algorithm in standard mode has only local optimization and accuracy is low. In order to fix this flaw an improved chaotic algorithm firefly is proposed for a design controller FOPID. To evaluate the performance of the proposed controller, it has been used in the control of a CSTR system with a variety of fitness functions. Simulations confirm the optimal performance of the proposed controller.     

圆网印花机模糊PID控制器设计

结合圆网印花控制系统的实际要求,设计实现模糊PID控制器,实际调试运行结果表明,该方案优于常规PID控制,能有效改善系统的动态品质和抗干扰性能。     

增益模糊自整定PID控制器设计

本文提出了一种模糊自整定ＰＩＤ控制器及设计方法，仿真结果表明与ＰＩＤ系统比较，模糊自整定ＰＩＤ超调量减小，抗环境变化能力强。较好地解决了对象结构时变系统控制适应能力     

Pid And Pid‐Like Controller Design By Pole Assignment Within D‐Stable Regions

This paper presents a new PID and PID‐like controller design method that permits the designer to control the desired dynamic performance of a closed‐loop system by first specifying a set of desired D‐stable regions in the complex plane and then running a numerical optimisation algorithm to find the controller parameters such that all the roots of the closed‐loop system are within the specified regions. This method can be used for stable and unstable plants with high order degree, for plants with time delay, for controller with more than three design parameters, and for various controller configurations. It also allows a unified treatment of the controller design for both continuous and discrete systems. Examples and comparative simulation results are provided to illustrate its merit.     

积分时滞对象的PID控制器设计

针对工业过程中常见的积分时滞对象,基于内模控制结构的设计原理,提出了一种PID控制器的解析设计方法。该方法通过引入闭环系统设定点低通滤波器来减少超调,从而达到二自由度控制;系统性能可通过单参数加以调节和优化。同时分析了系统的标称性能和鲁棒稳定性。最后通过仿真实例验证了控制方案的有效性。     

论迟延补偿控制系统的控制器再设计

针对用SMITH预估器进行迟延补偿后的控制器设计问题,分析了迟延补偿误差的特性,讨论了迟延补偿后的控制器再设计的依据,提出了按照模型失配程度选择控制器设计的建议.通过仿真试验找出了最大迟延补偿误差产生的条件并证实了折中控制器设计方案的有效性.     

基于神经网络的新型复合速度控制器的设计

针对传统PID控制和神经网络直接逆动态控制各自的特点,提出了将两者相结合构造一种新型复合神经网络速度控制器的方法：基于感应电机间接磁场定向矢量控制系统．对该复合速度控制器进行仿真研究。仿真结果表明,在电机参数变化和负载扰动的情况下,该控制器的应用使感应电机间接磁场定向矢量控制系统具有很好的鲁棒性和抗扰性能：     

基于MATLAB的新型CMAC控制器的设计与仿真

在小脑神经网络(CMAC)与PID并行控制的基础上,提出了一种新型的CMAC控制器,即FCMAC控制器。这种把小脑神经网络与模糊控制(Fuzzy)结合起来的控制方法,具有两种控制方法的优点。本文中以某交流伺服电机作为控制对象,用MATLAB进行了仿真。仿真结果表明,FCMAC控制器具有较高的控制精度、良好的自适应特性。     

预估模糊控制在温度控制中的应用

本文介绍了参数预估模糊控制系统的设计方法,工作原理及其在温度控制系统中的应用.该控制系统是解决带有纯滞后性质的被控对象的有效方法.这种方法只需知道被控对象的粗糙模型.并且系统有很好的鲁棒性,能有效抑制系统振荡.     

仿人智能PID控制器设计

PID控制算法简单 ,参数调整方便 ,应用广泛。但是常规的PID控制器参数往往整定不良、性能欠佳 ,对运行工况的适应性很差。该文设计的仿人智能PID控制器用正态函数拟和模糊控制规则 ,辅以根据误差和误差变化率的调整 ,能根据实际情况调整和完善PID参数 ,具有鲁棒性强 ,响应速度快 ,稳态精度高等优点。该方法在导弹自动驾驶仪的设计中有很好的应用效果。