Predictive functional control for the temperature control of a chemical batch reactor

Bouhenchir, H.; Cabassud, Michel; Lann, M.V. Le

doi:10.1016/j.compchemeng.2006.02.014

Cited by 54 publications

(26 citation statements)

References 15 publications

(24 reference statements)

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“…The elaboration of robust and efficient controllers, such as model predictive controllers can considerably improve the tracking control of temperature [6] , in the area of industry process. Model configurations is its flexibility to transform a QP problem into a square system of equations, which allows for an easier implementation in the areas of industrial robot and industry process control [6] .…”

Section: Introductionmentioning

confidence: 99%

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Design of the Nonlinear Predictive Functional Controller for turntable servo system

Zhangqian

Wang

2014

2014 9th IEEE Conference on Industrial Electronics and Applications

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The accurate modeling and precise control are both challenging problems in the control of turntable. In this paper, the global optimization predictive controller based on Nonlinear Predictive Functional Control (NPFC) and Hammerstein model is proposed especially to the servo turntable, using the modified two-step method. One kind of PFC controller, which contains the matrix operation and state space equation, is used to the dynamic linear part of the Hammerstein system. Then a global optimization, is realized by the Genetic Algorithm (GA). In order to apply the above NPFC algorithm, a precise nonlinear Hammerstein model of servo turntable is built though the approach of RLS-PSO parameters identification. The simulation results show the effectiveness of modeling method and control algorithm against the servo system.

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Section: Introductionmentioning

confidence: 99%

“…Model configurations is its flexibility to transform a QP problem into a square system of equations, which allows for an easier implementation in the areas of industrial robot and industry process control [6] . In this paper, stating form the [7] , has the ability to cope with the circumstance that no real solution to the even equations.…”

Section: Introductionmentioning

confidence: 99%

Design of the Nonlinear Predictive Functional Controller for turntable servo system

Zhangqian

Wang

2014

2014 9th IEEE Conference on Industrial Electronics and Applications

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“…Wide fluctuations in extreme temperatures occur from minor fluctuations or more operating variables. The need to control the composition of the reactor has been recognized since the early 1980's due to the increasing cost of raw material and energy [2].…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of a reactor

Ramli

Abdullah

2007

2007 International Conference on Intelligent and Advanced Systems

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A reactor is an important unit operation in the process industries. A sequences of a first order of an isothermal reactor are used at constant volume. The reactor is a system which faces instability due to its dynamic behaviors. The reactor might plays a significant role especially when it involves a process that is hazardous to the environment. The objective of this paper is to study different types of control strategy applications for the reactor which are feedback control, feed forward control, cascade control, constant gain feedback control, classical control, decoupling control, robustness analysis and plant uncertainty. MATLAB and SIMULINK are the essential tools to study the dynamic behavior of the reactor.

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“…For clarity, the architecture of the predictive functional control (PFC) [6], which is a subset of MBPC, is shown in Fig. 5.…”

Section: Production and Further Processing Of Flat Productsmentioning

confidence: 99%

The Virtual Rolling Mill – Enhancing Product Development and Commissioning

Klinkov¹,

Feist²

2016

MSF

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Abstract. Achenbach supplies worldwide with first-class customized rolling mills and machinery for the manufacturing of flat-rolled products from non-ferrous metals. In order to fulfil the customer-specific production requirements, Achenbach developed a wide variety of options for specific subjects. The control of the strip quality parameters like flatness or thickness in the rolling process is a key performance index. An increase of computation power in the field of industrial computers gave a chance to develop more complex model based control algorithms, which led to a significant improvement of the strip quality. In addition it gave an impulse for the development of a comprehensive mathematical model of the rolling mill. This paper presents the general virtual Achenbach Rolling Mill which is a digital representation of the rolling process in general and the behavior of the major actuators in the rolling process in detail. The behavior of drives, strip-tensions, and roll-gap is simulated in a multi-variable real-time environment. In the same environment the OPTIROLLi3 ® -model based controls can interact with the virtual machine. A vast number of challenges of the real rolling situation can be demonstrated by working on this 'mill simulator' and improved solutions are developed taking advantages from this platform. As the virtual machine allows all kinds of virtual testing without scrapping 'real material' a wide range of applications is possible for this virtual rolling mill. Some results from the SIL (software in loop) simulation will be presented for better clarity.

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Predictive functional control for the temperature control of a chemical batch reactor

Cited by 54 publications

References 15 publications

Design of the Nonlinear Predictive Functional Controller for turntable servo system

Design of the Nonlinear Predictive Functional Controller for turntable servo system

Modeling and control of a reactor

The Virtual Rolling Mill – Enhancing Product Development and Commissioning

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