基于混合PSO神经网络的自整定分数阶PID控制器

提出了一种基于混合PSO和RBF神经网络的自整定分数阶PID控制器的设计方法.该控制器主要由三个部分组成:(1)分数阶PID控制器直接控制被控对象;(2)利用细菌觅食算法和粒子群算法混合优化分数阶PID参数值,作为初始值;(3)利用RBF神经网络具有以任意精度逼近非线性函数及训练速度快的优点,在线整定分数阶PID值,并完成对被控对象的Jacobian信息辨识.实验仿真结果表明:该控制器具有响应速度快、收敛精度高、鲁棒性强等特点,可适用于不同的对象和过程,特别是复杂的、无确定数学模型的控制系统.     

双馈风机网侧PIλDμ差分进化算法仿真研究

为了提高双馈风机网侧变换器的整流性能,在PWM整流器中引入分数阶PID控制器作为电压环,采用差分进化算法对分数阶PID控制器的参数进行智能调节,用以改进分数阶PID控制器的整定方法.仿真结果显示,基于差分进化算法的分数阶PID控制与分数阶PID控制和常规整数阶PID这两种控制相比,调节时间分别下降了0.5 s和0.8 s,进入稳态后的纹波电压幅值明显下降,双馈风机网侧的三相交流电流的总谐波因数分别下降0.31％和11.85％.     

基于分数阶微积分的风力发电机变桨距控制方法研究

针对含有较大时滞的风力发电机变桨距液压控制系统,基于分数阶微积分控制方法,设计了考虑时滞和相关鲁棒性的PIλDβ控制器。实验仿真结果表明,与整数阶PID控制器相比,该系统在分数阶PIλDβ控制器控制下整个闭环系统具备较好的动、静态性能,说明分数阶PIλDβ控制器控制性能的优越性。     

基于模糊自适应PID控制的速度调节器设计与仿真

针对异步电动机非线性的特点,考虑到传统PID控制难以对其进行有效的控制的问题。文中设计了一种模糊自适应PID控制器,并将这种控制器应用到系统的转速调节的环节中。利用Matlab的Simulink工具搭建了模糊自适应PID控制的异步电机的仿真模型。仿真实验结果证明了设计的优越性,模糊自适应PID控制下的系统超调变小,反应速度变快,与原先的PID控制方式相比提高了系统的稳定性、动态响应性能以及鲁棒性能。     

煤粉制备系统中一种模糊PID控制器的设计与实现

针对某矿业公司多输入、多输出的煤粉制备系统难以进行精确的数学建模、动态描述等特点,设计了一种基于模糊控制和PID技术的模糊PID控制器.首先通过解析典型响应曲线各个阶段为取得良好的控制性能,PID参数与控制过程中系统误差、误差变化率之间的关系,建立模糊控制规则,并为各模糊子集选用三角形隶属度函数.完成该控制器的设计.再通过拟设计的控制器与常规PID控制器对磨煤机入口负压进行对比实验研究,验证了该控制器较好的动、静态性能.     

基于模糊PID控制的水轮机调节系统应用与仿真研究

针对水轮机调节系统的非线性、时变性及大惯性等特点,建立了其较为精确的数学模型,研究了模糊控制的基本原理,在此基础上构建了水轮机调节系统的模糊PID控制模型,并设计了适合水轮发电机组的模糊控制器,最后利用Matlab软件做了深入细致的仿真研究。研究表明,与常规的PID控制算法相比,引入模糊PID控制的水轮发电机组的调节特性得到了明显改善,并具有良好的动态品质。     

基于模糊PID皮革收缩温度测定仪控制系统设计

针对皮革收缩温度测定仪的温度控制系统的控制效果不甚理想的问题,提出一种参数模糊自整定PID控制方法,该方法集中了模糊控制和常规PID控制两种控制的优点.在重点介绍模糊PID控制器设计方法的基础上,利用Matlab软件分别进行了参数模糊自整定PID控制系统和常规PID控制系统的仿真实验.仿真实验结果比较表明,参数模糊自整定PID控制方法使该仪器的温控系统的性能得到很大改善.     

基于虚拟仪器的模糊PID的设计研究

本文以LabVIEW为仿真平台,并利用其提供的PID和模糊逻辑工具箱,设计出一个模糊PID控制器。由于LabVIEW能快速构建实现交互控制系统的图形用户界,所以该控制器可以很容易的对3阶的线性被控对象快速进行模糊控制。实验结果表明,该控制器具有较强的抗干扰能力和鲁棒性,较好的动态特性。     

量化因子自整定的四旋翼飞行器模糊PID控制

针对四旋翼飞行器的非线性飞行控制模型,提出了一种新改进的量化因子自整定二维直接控制量型模糊PID控制器。通过分析量化因子与模糊控制器输入输出的模糊逻辑关系,对量化因子分别设计模糊整定器并确定了相应的模糊输入量以及模糊规则表,然后利用自整定算法实现量化因子在线实时调整。通过对四旋翼飞行器进行动力学建模以及控制通道分析,进行了姿态飞行控制仿真实验。与传统PID型模糊控制器相比,本文设计的控制器在动态响应速度及抗外界干扰性能方面效果更优。     

自适应模糊PID控制器在供水系统中的仿真研究

对于恒压供水的复杂控制系统,常规的PID控制器难以保证系统在任何工况条件下始终具有较好的控制性能。将模糊控制理论应用于供水系统,设计出了一种自适应模糊PID控制器,通过仿真实验表明:在恒压供水系统中,自适应模糊PID控制较传统PID控制具有更好的静态和动态特性。     

Fractional order control to the electro-hydraulic system in insulator fatigue test device

In this paper, a special composite hydraulic cylinder, which includes two pistons and three working chambers, is proposed for driving the insulator fatigue test device. In this force loading system, a servo valve and a proportional pressure valve are used to control the composite hydraulic cylinder to generate alternating force and fixed force respectively. Furthermore, the models of the electro-hydraulic system are built and its dynamic characteristic is analyzed based on the models. Considering the uncertainty of the model parameters, the fractional order proportional-integral-derivative controller is adopted to control the two valves. The Oustaloup method is used to discrete the fractional order controller and the iteration feedback tuning method is presented to tune the controller parameters. The tuning process which is independent on the system model can be done on the close loop system. Simulation and experimental results have shown that the fractional order controller is effective.     

基于模糊自整定PID的汽轮机数字电液控制系统

基于模糊控制技术和汽轮机DEH系统的数学模型,将模糊自整定理论应用于汽轮机DEH系统,设计了一种适用于汽轮机数字电液控制系统的模糊自整定PID控制器。他利用偏差及偏差变化率作为模糊控制器的输入,并制定了模糊规则进行控制,实现PID参数的实时自整定,从而改善汽轮机调节系统的控制特性。仿真结果和分析表明在调节稳定性,超调量和自整定PID参数等方面,模糊自整定PID控制算法均优于传统PID控制算法。     

On the distributed order PID controller

This paper proposes a generalized fractional controller that covers the complete range of differintegrators of order −1 to order 1. This controller is named distributed order PID controller (DOPID) due to the fact that it broadens the structure of the conventional PID controller. Furthermore, a new method for implementation of distributed order PID controller (DOPID), as well as analysis of its properties in both time and frequency domain are proposed. As DOPID controller represents generalized classical PID controller, it is approximated by a compound fractional controller with multiple fractional differintegrators, with multiple gains, connected in parallel. Orders of these differintegrators have been equally spaced, with the first one being the first order classical integrator, and the last one being the first order classical differentiator. Noise cancellation filter is considered explicitly in the controller’s structure.     

Analytical design of fractional order PID controllers based on the fractional set-point weighted structure: Case study in twin rotor helicopter

In this paper, an analytical method for tuning the parameters of the set-point weighted fractional order PID (SWFOPID) controller is proposed. The studied control scheme is the filtered fractional set-point weighted (FFSW) structure. Also to achieve a desired closed-loop performance, a fractional order pre-filter is employed. The proposed method is applicable to stable plants describable by a simple three-parameter fractional order model. Such a model can be considered as the fractional order counterpart of a first order transfer function without time delay. Finally, the proposed method is implemented on a laboratory scale CE 150 helicopter platform and the results are compared with those of applying a filtered fractional order PI (FFOPI) controller in a similar structure. The practical results show the effectiveness of the proposed method.     

Design and Realization of Stand-Alone Digital Fractional Order PID Controller for Buck Converter Fed DC Motor

The aim of paper is to employ digital fractional order proportional integral derivative (FO-PID) controller for speed control of buck converter fed DC motor. Optimal pole-zero approximation method in discrete form is proposed for realization of digital fractional order controller. The stand-alone controller is implemented on embedded platform using digital signal processor TMS320F28027. The five tuning parameters of controller enhance the performance of control scheme. For tuning of the controller parameters, dynamic particle swarm optimization technique is employed. The proposed control scheme is simulated on MATLAB and verified by experimental results. Performance comparison shows better speed control of separately excited DC motor with the realized digital FO-PID controller than that of the integer order PID controller.     

Identification and tuning fractional order proportional integral controllers for time delayed systems with a fractional pole

First order plus time delay model is widely used to model systems with S-shaped reaction curve. Its generalized form is the model with a single fractional pole replacing the integer order pole, which is believed to better characterize the reaction curve. In this paper, using time delayed system model with a fractional pole as the starting point, fractional order controllers design for this class of fractional order systems is investigated. Integer order PID and fractional order PI and [PI] controllers are designed and compared for these class of systems. The simulation comparison between PID controller and fractional order PI and [PI] controllers show the advantages of the properly designed fractional order controllers. Experimental results on a heat flow platform are presented to validate the proposed design method in this paper.     

Hybridized ABC-GA optimized fractional order fuzzy pre-compensated FOPID control design for 2-DOF robot manipulator

The robotic manipulator is an extremely nonlinear, multi-input multi-output (MIMO), highly coupled, and complex system wherein the parameter uncertainties and external disturbances adversely affect the performance of this system. From this, it necessitates that the controllers designed for such system must overcome these complexities. In this paper, we develop a novel fractional order fuzzy pre-compensated fractional order PID (FOFP-FOPID) controller for 2-degree of freedom (2-DOF) manipulator dealing with trajectory tracking problem. In order to optimize the controller’s parameters while minimizing integral of time absolute error (ITAE), a metaheuristic optimization technique, viz., artificial bee colony-genetic algorithm (ABC-GA) is presented. The efficacy of our proposed controller is demonstrated by comparing it with some existing controllers, such as integer order fuzzy pre-compensated PID (IOFP-PID), fuzzy PID (FPID), and conventional PID controllers. Furthermore, the robustness analysis for proposed controllers is also investigated for parameter variations and external disturbances. The simulation results indicate that FOFP-FOPID controller can not only guarantee the best trajectory tracking but also ameliorate the system robustness for parameter variations as well as external disturbances.     

Innovative adaptive pitch control for small wind turbine fatigue load reduction

As a renewable source of energy, wind is widely used to produce electrical power. The progress of wind turbine technology can greatly benefit from the improvement of control algorithms. The pitch angle control of a horizontal axis wind turbine above the rated wind speed is a challenging issue related to the nonlinear aerodynamic behavior of blades. The linearization of aerodynamic model around nominal operating condition, as well as manufacturing deficiencies, result in unknown parameter uncertainties in a wind turbine model. Therefore, the performance of controller, which is designed based on the mathematical model, defects in practice. In the current paper, an adaptive self-tuning regulator (STR) configuration is proposed for the pitch control, so that the parameters of wind turbine model are constantly estimated and the controller gains are updated based on the assessed parameters. The STR structure consists of a recursive least square estimator and a proportional-integral-derivative (PID) controller with adjustable gains, which are determined by the pole placement method in a real-time routine. The robustness of the closed loop system is investigated by implementation of the control structure on an aero-servo-elastic wind turbine simulator. For the sake of comparison, a baseline gain scheduling PID controller, which is well-accepted for wind turbine pitch control, is designed. A comparison between the simulations of two controllers confirms a significant improvement in the closed-loop performance including less fluctuation of rotor speed and power besides minor fatigue loads on the blades and main-shaft.     

分数阶控制在位置随动系统中的应用研究

位置随动系统对响应速度、定位精度、抗扰动性能等要求越来越高,整数阶PID 控制实现容易,但性能有限,很难满足高要求。分数阶PID(FOPID)控制由于引入了积分和微分两个阶次参数,可控参数更多更灵活。文中针对位置随动系统引入分数阶PI 控制,首先,利用分数阶微积分的数值计算方法(irid_fod 法)给出了差分方程;然后,在MATLAB 环境下利用粒子群寻优算法,分别整定随动系统整数阶PI 及分数阶PI 最佳控制参数;接着,进行了定位控制及抗扰动性能的仿真与实物试验。结果表明:位置随动系统中,分数阶PI 控制较整数阶PI 控制定位快、抗扰动性能强,具有一定的工程应用价值。