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Design and Application of Fractional Order predictive functional control for Industrial Heating Furnace

IEEE ACCESS 2018年 6卷 66565-66575页

作者： Hu, Xiaomin Zou, Qin Zou, Hongbo Hangzhou Dianzi Univ Sch Sci Hangzhou 310018 Zhejiang Peoples R China Hangzhou Dianzi Univ Informat & Control Inst Hangzhou 310018 Zhejiang Peoples R China

This paper proposes a fractional order predictive functional control method for temperature control of an industrial electric heating furnace. Since the electric heating furnace is affected by complex factors such as measurement noise, uncertainty, model/plant mismatches, and so on, it is more important to derive accurate modeling and controller design for improved control performance. Under the uncertain facts, conventional control methods based on integer order models may not offer the desirable control performance. The fractional order model of the heating furnace based on the input-output data of the step response test is introduced to describe the dynamics of the process and the Oustaloup approximation is used to transform the fractional order process into an integer formulation. Then a predictive functional controller is designed through minimizing the future predicted output error based on the state space model transformation. Application has been implemented on the industrial heating furnace and the experimental tests reveal the validity of the proposed controller in comparison with conventional integer model-based PFC.

关键词： Industrial electric heating furnace fractional order systems predictive functional control step-response modeling

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A model predictive functional control based on proportional-integral-derivative (PID) and proportional-integral-proportional-derivative (PIPD) using extended non-minimal state space: Application to a molten carbonate fuel cell process

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KOREAN JOURNAL OF CHEMICAL ENGINEERING 2018年第8期35卷 1601-1610页

作者： Kim, Beom Seok Kim, Tae Young Park, Tae Chang Yeo, Yeong Koo Hanyang Univ Dept Chem Engn Seoul 04763 South Korea

The performance of most controllers, including proportional-integral-derivative (PID) and proportional-integral-proportional-derivative (PIPD) controllers, depends upon tuning of control parameters. In this study, we propose a novel tuning strategy for PID and PIPD controllers whose control parameters are tuned using the extended non-minimal state space model predictive functional control (ENMSSPFC) scheme based on the auto-regressive moving average (ARMA) model. The proposed control method is applied numerically in the operation of the MCFC process with the parameters of PID and PIPD controllers being optimized by ENMSSPFC based on the ARMA model for the MCFC process. Numerical simulations were carried out to assess the set-point tracking performance and disturbance rejection performance both for the perfect plant model, which represents the ideal case, and for the imperfect plant model, which is usual in practical applications. When there exists uncertainty in the plant model, the PIPD controller exhibits better overall control performance compared to the PID controller.

关键词： PID control PIPD control Extended Non-minimal State Space Model predictive functional control Molten Carbonate Fuel Cell Numerical Simulation

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Real Time Heat Exchanger control Using predictive functional control 9

Real Time Heat Exchanger Control Using Predictive Functional...

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9th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Waghmare, Amit Vijay Kannaiyan, Surender Visvesvaraya Natl Inst Technol Dept Elect & Commun Engn Nagpur 440010 Maharashtra India

ISBN: (纸本)9781538644300

Stable and controlled temperature is a very important parameter for most of the chemical process. The temperature of a chemical processes can be controlled using a heat exchanger. Most commonly used heat exchanger used in industries is shell and tube heat exchanger. In this paper, we present a model for shell and tube heat exchanger using predictive functional control (PFC). The approximation of the heat exchanger model is obtained through a discrete time system, where the discrete time system has specific sampling time. The entire system includes the measurement noise and input noise. The proposed PFC model controls the temperature of shell and tube heat exchanger using one degree of freedom control. The proposed model is subjected to various test conditions. Various parameters like dead time, constraints on input and output have been optimized. The performance of the proposed model is validated quantitatively as well as graphically to show its efficacy.

关键词： predictive functional control Mathematical Model Heat exchanger

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A new paradigm for predictive functional control to enable more consistent tuning

A new paradigm for Predictive Functional Control to enable m...

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American control Conference

作者： John Anthony Rossiter Muhammad Abdullah The University of Sheffield UK S1 3JD

ISBN: (纸本)9781538679012;9781538679265

This paper presents two significant contributions to the understanding of predictive functional control (PFC). First, it gives novel insights and explanations into a poorly understood issue, that is the weak link between PFC tuning parameters and the resulting closed-loop behaviour. This new understanding is then exploited to proposed a modification to the existing PFC algorithm which creates a much stronger tuning link while retaining the critical properties of elementary coding and understanding. The efficacy of the proposal is demonstrated on several numerical examples.

关键词： predictive control PFC Tuning Performance tuning predictive control predictive functional control

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Improved fuzzy PID controller design using predictive functional control structure

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ISA TRANSACTIONS 2017年第Part2期71卷 354-363页

作者： Wang, Yuzhong Jin, Qibing Zhang, Ridong Hangzhou Dianzi Univ Key Lab IOT & Informat Fus Technol Zhejiang Informat & Control Inst Hangzhou 310018 Zhejiang Peoples R China Beijing Univ Chem Technol Inst Automat Beijing 100029 Peoples R China

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. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： predictive functional control Fuzzy control PID control Temperature regulation

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Augmented predictive functional control for missile autopilot design

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2017年第10期231卷 1794-1803页

作者： Guo, Jianguo Wang, Guoqing Guo, Zongyi Zhou, Jun Northwestern Polytech Univ Inst Precis Guidance & Control 127 West Youyi Rd Xian 710072 Shaanxi Peoples R China

In this paper, an augmented predictive functional control approach is investigated to design a missile autopilot system, which can be expressed as a linear model with state-dependent coefficient matrices. A novel performance index depending on the reference trajectory, the output prediction and the set-point is proposed to improve the closed-loop dynamic performance. An augmented predictive functional control strategy is designed based on the proposed index and the stability is proven by using the Z-transform. In order to demonstrate the performance of the proposed approach, numerical simulations comparing the predictive functional control in the missile autopilot system are performed. Finally, results from comprehensive simulations are presented to evaluate the proposed approach in the presence of input constraints and abrupt disturbances.

关键词： predictive functional control performance index autopilot missile stability

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

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ISA TRANSACTIONS 2017年 68卷 287-292页

作者： Xu, Weide Zhang, Junfeng Zhang, Ridong Hangzhou Dianzi Univ Informat & Control Inst Key Lab IOT & Informat Fus Technol Zhejiang Hangzhou 310018 Zhejiang Peoples R China

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. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Industrial electric heating furnace predictive functional control Multi-model switching systems

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Pole-placement predictive functional control for under-damped systems with real numbers algebra

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ISA TRANSACTIONS 2017年第Part2期71卷 403-414页

作者： Zabet, K. Rossiter, J. A. Haber, R. Abdullah, M. Cologne Univ Appl Sci Inst Plant & Proc Engn Betzdorfer Str 2 D-50679 Cologne Germany Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England

This paper presents the new algorithm of PP-PFC (Pole-placement predictive functional control) for stable, linear under-damped higher-order processes. It is shown that while conventional PFC aims to get first-order exponential behavior, this is not always straightforward with significant under-damped modes and hence a pole-placement PFC algorithm is proposed which can be tuned more precisely to achieve the desired dynamics, but exploits complex number algebra and linear combinations in order to deliver guarantees of stability and performance. Nevertheless, practical implementation is easier by avoiding complex number algebra and hence a modified formulation of the PP-PFC algorithm is also presented which utilises just real numbers while retaining the key attributes of simple algebra, coding and tuning. The potential advantages are demonstrated with numerical examples and real-time control of a laboratory plant. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： predictive functional control Pole-placement Under-damped system Real number algebra

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Design of a new PID controller using predictive functional control optimization for chamber pressure in a coke furnace

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ISA TRANSACTIONS 2017年 67卷 208-214页

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

An improved proportional-integral-derivative (PID) controller based on predictive functional control (PFC) is proposed and tested on the chamber pressure in an industrial coke furnace. The proposed design is motivated by the fact that PID controllers for industrial processes with time delay may not achieve the desired control performance because of the unavoidable model/plant mismatches, while model predictive control (MPC) is suitable for such situations. In this paper, PID control and PFC algorithm are combined to form a new PID controller that has the basic characteristic of PFC algorithm and at the same time, the simple structure of traditional PID controller. The proposed controller was tested in terms of set-point tracking and disturbance rejection, where the obtained results showed that the proposed controller had the better ensemble performance compared with traditional PID controllers. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： PID control predictive functional control time delay processes ensemble performance

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predictive functional control using state estimator-based internal model for ramp disturbance rejection

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INTERNATIONAL JOURNAL OF AUTOMATION AND control 2016年第3期10卷 267-285页

作者： Satoh, Toshiyuki Saito, Naoki Nagase, Jun-ya Saga, Norihiko Akita Prefectural Univ Dept Machine Intelligence & Syst Engn 84-4 Aza Ebinokuchi Akita 0150055 Japan Ryukoku Univ Dept Mech & Syst Engn 1-5 Yokotani Otsu Shiga 5202194 Japan Kwansei Gakuin Univ Dept Human Syst Interact 2-1 Gakuen Sanda Hyogo 6691337 Japan

We propose a state estimator-based disturbance suppression technique for predictive functional control (PFC), which puts emphasis on attenuation of ramp disturbances. Augmenting the plant model with a disturbance model, we build a prediction-type estimator for the augmented model, which estimates ramp disturbances as well as the plant states. The state estimator enables us to predict the future output in the presence of ramp disturbances. We also analyse the structure of the proposed PFC system and controller poles and prove that the estimator-based PFC system actually has two integral actions. Finally, several numerical simulation tests are conducted to validate the effectiveness of the proposed method.

关键词： predictive functional control PFC ramp disturbance state estimator model predictive control MPC

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