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American control Conference

作者： R. Haber J.A. Rossiter K. Zabet Laboratory of Process Control Institute of Process Engineering and Plant Design Faculty of Process Engineering Energy and Mechanical Systems Cologne University of Applied Science D-50679 Koln Germany Dept. of Automatic Control and Systems Eng. University of Sheffield S1 3JD UK

ISBN: (纸本)9781467386838

PFC (predictive Function control) can be considered as a bridge between PI(D) and complex MPC. PI(D) control can have problems handling dead time and constraints. PFC handles these cases and is often better than using a Smith predictor. PFC is a simple realizable MPC which thus uses prediction and preview of key variables. PFC can be implemented via simple program code and thus has cheap license costs. The tutorial introduces the basic idea of PFC and algorithms for typical processes. Simulations illustrate its effectiveness and advantages over PI(D) and Smith predictors.

关键词： Process control Mathematical model Trajectory Tuning Robustness Prediction algorithms predictive models Proportional Integral Derivative control Prediction algorithms Process control Prediction models Pelvic Inflammatory Disease trajectory tuning Power factor correction Mathematical Model Smith predictors Proportional derivative control predictive functional control program code Robustness DEAD TIME

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predictive functional control for Buck DC-DC Converter 27

Predictive Functional Control for Buck DC-DC Converter

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27th Chinese control and Decision Conference (CCDC)

作者： Liu, Zhen Gao, Fei Xie, Lei Li, Xiuliang Xie, Lantao Zhejiang Univ Inst Cyber Syst & Control Hangzhou 310007 Zhejiang Peoples R China

ISBN: (纸本)9781479970162

Model predictive control algorithm needs a lot of online receding optimization computation, which limits its application in fast controlled object. This paper proposes the algorithm of predictive functional control (PFC), which can fast reach the set point to achieve the control of the forward DC-DC converter in fuel cells through its characteristic of one-step prediction method. Finally, by using the implementation of the predictive functional control on General Purpose Inverter controller (GPIC) to control the DC-DC circuit, the experimental results show that the DC-DC converter output voltage can track the design voltage quickly, has a good response of step change and load variation.

关键词： DC-DC converter predictive functional control GPIC control

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Disturbance Observer-Based predictive functional control Using Zero Phase Error Tracking controller

Disturbance Observer-Based Predictive Functional Control Usi...

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World Congress on Industrial control Systems Security (WCICSS)

作者： Hara, Hiroki Satoh, Toshiyuki Saito, Naoki Nagase, Jun-ya Saga, Norihiko Akita Prefectural Univ Fac Syst Sci & Technol Akita Japan Ryukoku Univ Fac Sci & Technol Otsu Shiga Japan Kwansei Gakuin Univ Sch Sci & Technol Sanda Hyogo Japan

ISBN: (纸本)9781908320582

This paper addresses a two-degree-of-freedom control system design based on the predictive functional control (PFC). The aim of the paper is to improve the tracking performance of the previously-developed disturbance observer-based predictive functional control (DOB-PFC) system. To this end, we apply the zero phase error tracking controller (ZPETC) as a feedforward preview controller. A few experiments using a real table drive system are conducted to compare the proposed control system with the DOB-PFC. The experimental results show that the tracking error is greatly reduced compared to DOB-PFC.

关键词： predictive functional control disturbance observer zero phase error tracking controller motion control

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Brushless DC motor speed control based on predictive functional control 27

Brushless DC motor speed control based on predictive functio...

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27th Chinese control and Decision Conference (CCDC)

作者： Gu, Deying Zhang, Jingquan Gu, Jingxiao Northeastern Univ Sch Control Engn Qinhuangdao 066004 Peoples R China Univ Missouri Dept Elect & Comp Engn Columbia MO 65201 USA

ISBN: (纸本)9781479970162

Because the DC motor is characterized by multi-variables, nonlinearity, strong coupling and time-varying as well as tradition control method strongly depends on the mathematical model of motor, predictive functional control strategy is proposed to control speed of brushless direct-current motor in the paper. The current-loop adopts PI controller while speed-loop uses predictive functional controller. Simulation result is shown that predictive functional control is characterized by small on-line calculations, simple control and stronger anti-interference, along with the robustness, and good static and dynamic performance, thus the control performance of system is enhanced in general.

关键词： Brushless DC motor predictive functional control Speed control DSP

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Higher Order predictive functional control Versus Dynamical Matrix control for a Milk Pasteurisation Process: Transfer Function Versus Finite Step Response Internal Models

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INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2014年第1期10卷 17-27页

作者： Khadir, Tarek Mohamed Ringwood, John Vincent Univ Badji Mokhtar Dept Comp Sci LRI Lab Rech EnInformat Annaba Algeria Natl Univ Ireland Dept Elect Engn Maynooth Kildare Ireland

predictive functional control (PFC), a model predictive control algorithm, has been proven to be very successful in a wealth of industrial applications due to its many laudable attribute, such as its simplicity and intuitive appeal. For simple single input single output processes, PFC applications use a first-order plus delay internal model and, as long as such models improve the control over classical control strategies, then their use remains justified. In this paper, a higher order internal PFC model is considered in order to reduce any possible plant-model mismatch, where the internal model is formulated as a series of cascaded or parallel first-order systems. The control approach is compared to a more conventional over parameterized dynamical matrix control (DMC) approach, used extensively for Multi-Input Multi-Output systems in the petrochemical industry. This paper demonstrates the benefits of the PFC higher order formulation for a typical milk pasteurisation plant, with significant improvements in the variances of both controlled and manipulated variables when compared to a first-order PFC. In this aspect, the higher order controller competes well with DMC performances, however, using a much more simpler and compact internal model form.

关键词： model predictive control predictive functional control milk pasteurisation

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Improved PI controller based on predictive functional control for liquid level regulation in a coke fractionation tower

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JOURNAL OF PROCESS control 2014年第3期24卷 125-132页

作者： Zhang, Ridong Wu, Sheng Gao, Furong Hangzhou Dianzi Univ Informat & Control Inst Hangzhou 310018 Zhejiang Peoples R China Hong Kong Univ Sci & Technol Dept Chem & Biomol Engn Kowloon Hong Kong Peoples R China

Due to limitations of hardware, cost and so on, the application of proportional-integral-derivative (PID) control is more convenient than predictive control. However, predictive control usually has better performance than traditional PID control, thus it is important to combine the advantages of these two control algorithms. A novel PI controller optimized by predictive functional control (PFC) is proposed and tested on liquid level in the industrial coke fractionation tower in this paper. Since this kind of process always shows the integrating behavior, a P controller is first used for it to generate a self-balancing generalized process, then the PFC based PI control is designed for the generalized process. The resulting controller displays the performance of both PFC and PI control with easy implementation in practice. The performance of the proposed PI controller is compared with traditional PI controller in terms of regulatory/servo setpoint tracking, disturbance rejection and measurement noise issues, from which results show that the proposed PI controller provides better performance than traditional PI controller. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： predictive functional control PI controller Liquid level regulation Industrial coke fractionation tower

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Brushless DC motor speed control based on predictive functional control

Brushless DC motor speed control based on predictive functio...

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第27届中国控制与决策会议

作者： Deying Gu Jingquan Zhang Jingxiao Gu School of Control Engineering Northeastern University at Qinhuangdao Department of Electrical and Computer Engineering University of Missouri-Columbia

ISBN: (纸本)9781479970186

Because the DC motor is characterized by multi-variables,nonlinearity,strong coupling and time-varying as well as tradition control method strongly depends on the mathematical model of motor,predictive functional control strategy is proposed to control speed of brushless direct-current motor in the *** current-loop adopts PI controller while speed-loop uses predictive functional *** result is shown that predictive functional control is characterized by small on-line calculations,simple control and stronger anti- interference,along with the robustness,and good static and dynamic performance,thus the control performance of system is enhanced in general.

关键词： Brushless DC motor predictive functional control Speed control DSP

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A non-minimal state space formulation based predictive functional control design for inverse-response processes

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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2014年 139卷 70-75页

作者： Zhang, Jianming Zhejiang Univ Inst Cyber Syst & Control Natl Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

In this paper, the design of predictive functional control (PFC) based on non-minimal state space models is proposed for nonminimum phase processes referred to as inverse-response processes. The merits of the proposed method lie firstly in the fact that the measured input and output variables and their past values are chosen as the state variables that avoid the need of state observers. Secondly, by using the formulation of a new state space variable, the resulting PFC control incorporates both the state and output feedback, which further improve closed-loop process responses over previous methods. The performance and robustness of the control system are discussed. A typical example of inverse-response process is given to compare the proposed controller and the previous. (C) 2014 Elsevier B.V. All rights reserved.

关键词： predictive functional control State space feedback control Non-minimal state space model Inverse-response processes

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GA based predictive functional control for batch processes under actuator faults

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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2014年 137卷 67-73页

作者： Zhang, Ridong Zou, Hongbo Xue, Anke Gao, Furong Hangzhou Dianzi Univ Informat & Control Inst Hangzhou 310018 Zhejiang Peoples R China Hong Kong Univ Sci & Technol Dept Biomol & Chem Engn Kowloon Hong Kong Peoples R China

In this article, an improved predictive functional control (PFC) based on genetic algorithm (GA) optimization is proposed for batch processes with partial actuator faults and unknown disturbances. The design consists of two steps. Firstly, based on an expanded state space process model, a new PFC is designed that can regulate both the process state and output tracking error dynamics. Secondly, as knowledge of analytical weighting factors on the process state and output tracking error is not known, a GA is introduced to optimize the weighting factors to achieve the desired closed-loop responses. The performance of the proposed PFC is illustrated through an injection molding process, where injection velocity control is tested and results show that the proposed PFC improves closed-loop performance compared with existing methods. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Batch processes predictive functional control Genetic algorithm Actuator faults

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predictive functional control of counter current heat exchangers

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IFAC Proceedings Volumes 2014年第3期47卷 5345-5350页

作者： J. Richalet T. Darure J. Mallet Consultant Louveciennes France College of Engineering Pune India IRA Control and Automation Institute Arles France

A full first principle model of counter current heat exchangers is used as the internal model of a classical PFC controller. With the use of a specific physical “convexity property” of this type of process, a full straightforward first-principle model is used as the internal model of the controller. The whole strategy is implemented in a classical industrial PLC, which controls this nonlinear process with a minimum effort.

关键词： predictive functional control heat exchanger nonlinear model linearization real-time control

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