Improved fuzzy PID controller design using predictive functional control structure

In conventional PID scheme, the ensemble control performance may be unsatisfactory due to limited degrees of freedom under various kinds of uncertainty. To overcome this disadvantage, a novel PID control method that inherits the advantages of fuzzy PID control and the predictive functional control (PFC) is presented and further verified on the temperature model of a coke furnace. Based on the framework of PFC, the prediction of the future process behavior is first obtained using the current process input signal. Then, the fuzzy PID control based on the multi-step prediction is introduced to acquire the optimal control law. Finally, the case study on a temperature model of a coke furnace shows the effectiveness of the fuzzy PID control scheme when compared with conventional PID control and fuzzy self-adaptive PID control.     

Design and implementation of a new fuzzy PID controller for networked control systems

This paper presents a practical network platform to design and implement a networked-based cascade control system linking a Smar Foundation Fieldbus (FF) controller (DFI-302) and a Siemens programmable logic controller (PLC-S7-315-2DP) through Industrial Ethernet to a laboratory pilot plant. In the presented network configuration, the Smar OPC tag browser and Siemens WinCC OPC Channel provide the communicating interface between the two controllers. The paper investigates the performance of a PID controller implemented in two different possible configurations of FF function block (FB) and networked control system (NCS) via a remote Siemens PLC. In the FB control system implementation, the desired set-point is provided by the Siemens Human-Machine Interface (HMI) software (i.e, WinCC) via an Ethernet Modbus link. While, in the NCS implementation, the cascade loop is realized in remote Siemens PLC station and the final element set-point is sent to the Smar FF station via Ethernet bus. A new fuzzy PID control strategy is then proposed to improve the control performances of the networked-based control systems due to an induced transmission delay degradation effect. The proposed strategy utilizes an innovative idea based on sectionalizing the error signal of the step response into three different functional zones. The supporting philosophy behind these three functional zones is to decompose the desired control objectives in terms of rising time, settling time and steady-state error measures maintained by an appropriate PID-type controller in each zone. Then, fuzzy membership factors are defined to configure the control signal on the basis of the fuzzy weighted PID outputs of all three zones. The obtained results illustrate the effectiveness of the proposed fuzzy PID control scheme in improving the performances of the implemented NCS for different transportation delays.     

Application of multi-model switching predictive functional control on the temperature system of an electric heating furnace

A method of multi-model switching based predictive functional control is proposed and applied to the temperature control system of an electric heating furnace. The control strategies provide the effective and independent control modes of the electric heating furnace temperature in order to obtain improved control performance. The method depends on conventional implementation of the multi-model switching state, which requires some endeavors to tune the switching model in the model predictive control and allows a reduction of the calculation compared with the weighted multiple model algorithms. In order to test the advantage of the proposed method, experimental equipment is set up and experiments are done on the temperature process of a heating furnace, which verify the validity and effectiveness of the proposed algorithm.     

A new Smith predictor and controller for control of processes with long dead time

Good control of processes with long dead time is often achieved using a Smith predictor configuration. Typically a PI or PID controller is used; however, it is shown in this paper that for some situations improved set point and disturbance responses can be obtained if a PI-PD controller is used. Several methods are possible for selecting the parameters of the PI-PD controller but when the plant transfer function has no zeros, the use of the standard forms provides a simple algebraic approach, and also reveals why difficulties may be encountered if a PID controller is used. Some examples are given to show the value of the approach presented.     

基于模糊PID控制器的多电机同步控制装置的应用

该文在PID控制的基础上引入了模糊逻辑的概念，提出了一种较新的模糊PID控制算法，并使之应用在多电机同步控制装置中，实验结果表明该控制器能够大大增强系统的动态特性，使多电机良好地以一定速度同步运行。     

Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor

In this paper, the authors have represented the nonlinear system as a family of local linear state space models, local PID controllers have been designed on the basis of linear models, and the weighted sum of the output from the local PID controllers (Nonlinear PID controller) has been used to control the nonlinear process. Further, Nonlinear Model Predictive Controller using the family of local linear state space models (F-NMPC) has been developed. The effectiveness of the proposed control schemes has been demonstrated on a CSTR process, which exhibits dynamic nonlinearity.     

Adaptive predictive functional control of a class of nonlinear systems

This paper describes the use of pseudo-partial derivative (PPD) to dynamically linearize a nonlinear system, and aggregation is applied to the predicted PPD, resulting in a model-free adaptive predictive control algorithm for a nonlinear system. The algorithm design is only based on the PPD derived online from the input/output data of the controlled process, however it does provide bounded input/output sequence and setpoint tracking without steady-state error. A detailed discussion on parameter selection is also provided. To show the capability of the algorithm, simulations of a time-delay plant and a pH neutralization process show that the proposed method is effective for system parameter perturbation and external disturbance rejection.     

燧道式炉二自由度PID控制的MATLAB仿真研究

该文利用MATLAB仿真软件对二自由度PID在燧道式炉中的应用进行仿真研究,并给出仿真结果。仿真结果表明,燧道式炉采用二自由度PID控制能够实现给定跟踪性能和扰动抑制性能同时达到最佳。     

预测函数控制在工业锅炉燃烧系统上的应用

通过将预测函数控制应用于链条锅炉燃烧控制的系统仿真，结果表明这种控制器具有较强的适应性和鲁棒性，而互有较高的控制精度。     

大滞后过程的模糊免疫自整定PID控制

目前大滞后过程的控制问题仍然是控制理论研究的重要课题,本文研究提出了一种模糊免疫PID控制器,针对一阶大时滞模型进行数字仿真。仿真结果证明了该方案在一定的时滞范围内具有很好的动静态响应特性和较强的鲁棒性,为解决大滞后过程的控制问题提供了一种可行的方法。     

电锅炉温度控制系统中的混沌优化PID控制器设计

利用混沌运动的遍历性特点,设计了针对电锅炉温度控制系统的基于混沌优化的PID控制器,仿真结果表明该算法能够实现PID参数的最优整定,具有良好的动态和稳态控制效果。     

基于模糊PID控制器的多电机控制系统

传统的PID控制在对象发生变化时,控制器的参数难以自动调整.该文将模糊控制算法与PID控制技术相结合应用到多电机同步控制系统中,通过模糊控制算法在线调整PID参数.此控制系统在中山市天乙铜业热轧项目上使用,运行结果表明该方法能够大大改善系统的动态特性,提高了系统的稳定性.     

Design of a nuclear reactor controller using a model predictive control method

A model predictive controller is designed to control thermal power in a nuclear reactor. The basic concept of the model predictive control is to solve an optimization problem for finite future time steps at current time, to implement only the first optimal control input among the solved control inputs, and to repeat the procedure at each subsequent instant. A controller design model used for designing the model predictive controller is estimated every time step by applying a recursive parameter estimation algorithm. A 3-dimensional nuclear reactor analysis code, MASTER that was developed by Korea Atomic Energy Research Institute (KAERI), was used to verify the proposed controller for a nuclear reactor. It was known that the nuclear power controlled by the proposed controller well tracks the desired power level and the desired axial power distribution.     

PID控制器参数快速整定的新方法

本文分析了影响控制器参数整定的几个基本问题（控制目标、优化准则和被控过程的特性），提出了精确地确定被控过程模型参数的方法。通过计算机仿真，系统地提出了可适用于多容过程的ＰＩＤ控制器参数快速整定新方法。     

Fuzzy logic versus a PID controller for position control of a muscle-like actuated arm

This study compares three different control algorithms for a muscle-like actuated arm developed to replicate motion in two degrees-of-freedom (df): elbow flexion/extension (f/e) and forearm pronation/supination (p/s). Electromyogram (EMG) is employed to help determine the control signal used to actuate the muscle cylinders. Three different types of control strategies were attempted. The first algorithm used fuzzy logic with EMG signals and position error as control inputs (Fuzzy Controller). The second algorithm incorporated moment arm information into the existing fuzzy logic controller (Fuzzy-MA Controller). The third algorithm was a conventional Proportional-Integral-Derivative (PID) controller, which operated solely on position and integration error (PID Controller). Overall, moment arm scaling aided the fuzzy logic control algorithm by improving movement accuracy as determined by relative error and correlation. The PID controller resulted in the most accurate movement tracking after fine tuning the control gains. This study implies that moment arm scaling is an effective tool for improving motion tracking accuracy of the fuzzy controller in the mechanical arm. The study also implies that PID controller can be used as a substitute for the fuzzy based controller once the desired motion is prescribed.     

基于改进型灰色预测大时滞过程的自适应PID控制研究

针对传统PID控制对大时滞控制效果不佳的情况,提出一种基于改进灰色预测模型的自适应PID控制系统。采用等维新信息、改变初始条件和精指数拟合法对G（1,1）模型进行改进,将改进后的G（1,1）模型与传统PID结合,组成灰色预测控制系统。用预测结果代替被控对象测量值,克服了大时滞系统控制效果不能及时反馈的不足,并在控制运算中,沿二次型性能指标的负梯度方向对加权系数进行在线修改,实现了自适应PID的优化控制。仿真结果表明了该预测控制算法的响应速度快、鲁棒性强,有较好的适应性。     

新型PID参数选取方法在加热炉控制中的应用

加热炉煤气流量控制属于经典过程控制,最适宜的控制方案是PID控制,但利用传统的控制器参数整定方法,目标跟踪特性和干扰抑制特性不能兼顾。该文介绍一种新型PID参数选取方法,经仿真控制效果较好。     

一种基于粒子群算法的二自由度PID控制器优化设计

粒子群算法在解决复杂问题的优化设计上具有算法简单,计算速度快的优点,将粒子群算法引入到二自由度PID控制器的参数整定中,用于改进二自由度PID控制器参数整定的效率并进行了仿真实验,仿真结果表明,系统同时具有了最优的目标值跟踪特性和干扰抑制特性.     

一种PID型自适应模糊控制的设计及其应用

提出了一种PID型自适应模糊控制方法,进而将该方法应用于机器人末端执行器进行控制,仿真结果表明本文提出的控制方案在应用于机器人力控制时具有优秀的响应性能和运动精度,同时该方法简单实用,非常适用于实际生产。     

多变量PI型有约束后移步限预测控制器在水泥窑控制中的仿真研究

本文设计了具有比例积分结构的多变量ＰＩ型有移步限预测控制器,并给出在旋转式水泥窑过程控制中的仿真研究结果。