Model based feedforward control of an industrial glass feeder

This article presents the automation of set point changes of an industrial glass feeder in container glass production. A model is proposed consisting of multiple first order partial differential equations (PDEs). Based on the derived model a feedforward control approach is presented. The approach allows for the calculation of control inputs out of reference trajectories of the system outputs and is used to perform automated set point changes with short transition time. Finally, the approach is implemented at an industrial glass feeder. Measurement results from the Thüringer Behälterglas GmbH (Schleusingen, Germany) are included.     

Model predictive control of an activated sludge process: A case study

This paper details a case study application of model predictive control for a wastewater treatment process in Lancaster, North England. The control system was implemented in real time, together with a plant monitoring system for the purposes of process supervision. Following implementation, the model predictive control system provided significant benefits compared with the previously applied control system. These benefits included a reduction of over 25% in power usage and a similar increase in plant efficiency. The system therefore represents a useful tool in helping the water industry to reach its goal of significantly reducing its carbon footprint.     

Flatness-based trajectory planning for diffusion–reaction systems in a parallelepipedon—A spectral approach

Spectral analysis is considered for the flatness-based solution of the trajectory planning problem for a boundary controlled diffusion–reaction system defined on a 1≤r-dimensional parallelepipedon. By exploiting the Riesz spectral properties of the system operator, it is shown that a suitable reformulation of the resolvent operator allows a systematic introduction of a basic output, which yields a parametrization of both the system state and the boundary input in terms of differential operators of infinite order. Their convergence is verified for both infinite-dimensional and finite-dimensional actuator configurations by restricting the basic output to certain Gevrey classes involving non-analytic functions. With this, a systematic approach is introduced for basic output trajectory assignment and feedforward tracking control towards the realization of finite-time transitions between stationary profiles.     

A model-based augmented PID algorithm

For complex control problems, advanced techniques, such as model-based predictive control may give better control performance than the common PID controller. However, the extra complexity and limited support of control software especially at the distributed control system (DCS) level, may prohibit the application of advanced algorithms. Also, implementing model based control often requires a higher level of programming than is readily available at the DCS level. This paper addresses this problem by providing a control algorithm utilizing multiple DCS PID blocks to implement a model-based predictive control strategy. The approach was tested on process simulations and the algorithm was able to provide control performance similar to that of generalized predictive control.     

A model-based supervisory energy management strategy for a 12 V vehicle electrical system

This paper describes the development, implementation, and experimental verification of a supervisory energy management strategy for the vehicle electrical system of a passenger car. The control strategy commands the alternator duty cycle such that vehicle fuel economy is optimized whilst the instantaneous load current demand is met and constraints on the system voltage and battery state of charge are satisfied.The work is based on a control-oriented model of the vehicle electrical system, experimentally validated against vehicle data. Then, a constrained global optimal control problem is formulated for the energy management of the electrical system, and analytically solved using the Pontryagin׳s Minimum Principle (PMP). The optimal solution obtained is evaluated for a range of different driving cycles and electrical load current profiles, leading to the formulation of an adaptive supervisory control strategy that is implemented and tested in vehicle.     

Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN

This paper represents an artificial neural network (ANN) backpropagation algorithm is used to choose best coefficients of hierarchical fuzzy power system stabilizer (HFPSS). PSS is used for stability enhancement of a single machine infinite bus (SMIB) power system. ANN algorithm is used to predict load condition of the power system. And according to the predicted load condition ANN determinates choosing optimal parameters of the hierarchical fuzzy controller (HFC) to achieve better performance. Simulation results are compared with conventional PSS (CPSS) to show the effectiveness of the proposed controller. Also quantitative criterias of measuring performance is computed for 16 loading conditions.     

某旋翼加载系统分析

在进行某旋翼加载系统试验时,核心是减小多余力影响问题。文中分析了两种方法,前馈补偿和基于结构不变性原理补偿方法。前馈控制通过测量位置系统的伺服阀位移,该位移是位置干扰的函数,补偿多余力影响包括补偿伺服阀死去非线性影响。基于不变性原理补偿是实际应用中通过测量位置系统的速度,在位置系统输出和加载系统输入之间加入的补偿通道。该文研究某旋翼加载系统的多余力动态补偿及其有效性,仿真显示了补偿效果和两种方法的对比。仿真结果表明, 两种方法都有很好的多余力消除效果,可根据实际情况进行选择。     

连续热镀锌退火炉控制系统的设计与实现

针对大型冷轧带钢连续热镀锌退火过程模型化及控制这一技术难题，本文以某实际系统为背景，提出了一种具体的设计与实现方案。本系统的研制成功地填补了国内空白，具有显著的经济效益和社会效益，对于其它类似的大型引进项目的技术消化和技术改造也有一定的参考价值。     

基于复合控制的电力系统稳定器设计

针对传统电力系统稳定器(PSS)的缺点,提出一种基于复合控制的电力系统稳定器,可以根据实际的运行情况在模糊和比例积分微分(Fuzzy-PID)控制中进行选择性的控制,使电力系统稳定器既具有模糊控制简单有效的非线性控制作用,又具有比例和积分控制的快速性和跟踪能力。理论分析及仿真结果均表明所提出的方案正确可行并具有良好的性能。     

线性最优调节器二阶工程设计法及应用

本文利用文[1]结论,给出一种实用线性最优调节器二阶工程设计法．该设计法建立了古典控制意义上的系统性能指标与二次型性能指标的关系．并给出解析其式,提出二阶最优参数域的概念．通过轧机综合最优控制系统的设计和实验,验证了该方法在工程设计中的可行性．     

Implementation and experimental studies of an adaptive self-optimizing power system stabilizer

This paper describes the implementation and experimental studies of an adaptive self-optimizing pole shifting power system stabilizer. Using an Intel iSBC386/21 single-board computer, the adaptive power system stabilizer has been tested on a physical model of a single-machine infinite-bus power system. Under different operating conditions and disturbances, the behavior of the proposed adaptive stabilizer was investigated. Comparison has also been made to a digital-type conventional fixed-parameter power system stabilizer. Results of the experimental studies show that the proposed adaptive stabilizer outperforms the conventional stabilizer.     

基于MATLAB的模糊电力系统稳定器设计与仿真

该文介绍了如何由模糊逻辑工具箱和Simulink来设计模糊电力系统稳定器,仿真结果表明：该文所设计的模糊电力系统稳定器(FPSS)相比传统的电力系统稳定器(CPSS)能更有效地抑制系统低频振荡,且模糊稳定器的设计与调试过程非常方便、高效。     

基于嵌套侵润控制的非线性前馈系统的全局镇定

In this paper, we discuss global stabilization procedure for convergence of a more general feedforward nonlinear systems. Our stabilizer consists of a nested saturation function, which is a nonlinear combination of saturation functions. We extend the existing stabilization results and prove that our stabilizer is exponential convergent.