A Mixed Logic Enhanced Multi-Model Switching Predictive Controller for Nonlinear Dynamic Process

Zou, Tao; Wang, X.; Li, S. Y.; Zhu, Qingyu

doi:10.2316/journal.201.2007.2.201-1656

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Many literatures [13,14,[18][19][20][21][22][23] show that mixed-integer quadratic programming (MIQP) method is a more effective way to deal with the problem of MLD system. This method can not only easily deal with the optimization control problem of quadratic performance objective, but, more importantly, it can conveniently handle the state of the system and the constraints of the control input and establish a unified method for the constraint optimization of the MLD system.…”

Section: Optimal Control Strategymentioning

confidence: 99%

“…The advantage of MLD model is that the systems can be represented by a hybrid logical dynamic model with the characteristics of linear dynamic systems in form after introducing appropriate auxiliary logical variables and auxiliary continuous variables. In order to achieve optimal control, the control measures [18][19][20] were transformed to dynamic programming problems, such as mixed-integer linear programming (MILP) form [21] and mixed-integer quadratic programming (MIQP) form [22,23].…”

Section: Introductionmentioning

confidence: 99%

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A Modelling and Control Approach for a Type of Mixed Logical Dynamical System Using in Chilled Water System of Refrigeration System

Yan

Chu

Liu

et al. 2019

Mathematical Problems in Engineering

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The chilled water system of central air conditioning is a typical hybrid system. The dynamic adjustment of cooling capacity based on hybrid system can achieve accurate temperature control and real-time energy saving. Mixed logical dynamical (MLD) systems have advantage for solving constrained optimization problems of this type of case by numerical methods. This paper proposes a novel modified type of MLD system, which enhances the model applicability and improves the switching flexibility and control effect for the framework. In order to meet the needs of cooling capacity and energy saving, the optimal control problem is transformed as MIQP problem by defined performance index. As a numeral example of application, the model and control method is used in pumps group control for variable water volume in chilled water system of central air conditioning. At last, the dynamic and energy-saving effects of the system are simulated, which shows the ideal control results.

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Section: Optimal Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Modelling and Control Approach for a Type of Mixed Logical Dynamical System Using in Chilled Water System of Refrigeration System

Yan

Chu

Liu

et al. 2019

Mathematical Problems in Engineering

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“…The control of multi-models is a relatively effective type in the nonlinear time-dependent control strategy [2] [3], but often it brings unacceptable errors [4] [5]. These errors have been minimized with advanced control systems, and these intelligent systems enable the control of nonlinear systems dependent on time.…”

Section: Introductionmentioning

confidence: 99%

Development of a PID-Fuzzy controller in the water level control of a pressurizer of a nuclear reactor

2021

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It is well known that safety in the operation of nuclear power plants is a primary requirement because a failure of this system can result in serious problems to the environment. A nuclear reactor has several systems that help keep it in normal operation, within safety margins. Many of these systems operate in the control of variable quantities in the primary circuit of a reactor. However, nuclear reactors are nonlinear physical systems, and this introduces a complexity in the control strategies. Among several mechanisms in the thermal-hydraulic system of a reactor that actuate as a controller, the pressurizer is the component responsible for absorbing pressure variations that occur in the primary circuit. This work aims at the development of a PID controller (Proportional Integral Derivative) based on fuzzy logic to operate in a pressurizer of a nuclear Pressurized Water Reactor. A Fuzzy Controller was developed using the process of fuzzification, inference, and defuzzification of the variables of interest to a pressurizer, then this controller was coupled to a PID Controller building a PID Controller, but oriented by Fuzzy logic. Subsequently, the PID-Fuzzy Controller was experimentally validated in a Simulation Plant in which transients like those in a PWR were conducted. The PID parameters were analyzed and adjusted for better responses and results. The results of the validation were also compared to simple controllers (on / off).

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Design and optimization of fuzzy-PID controller for the nuclear reactor power control

Liu¹,

Peng²,

Zhao³

et al. 2009

Nuclear Engineering and Design

125

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A Mixed Logic Enhanced Multi-Model Switching Predictive Controller for Nonlinear Dynamic Process

Cited by 3 publications

References 16 publications

A Modelling and Control Approach for a Type of Mixed Logical Dynamical System Using in Chilled Water System of Refrigeration System

A Modelling and Control Approach for a Type of Mixed Logical Dynamical System Using in Chilled Water System of Refrigeration System

Development of a PID-Fuzzy controller in the water level control of a pressurizer of a nuclear reactor

Design and optimization of fuzzy-PID controller for the nuclear reactor power control

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