Multivariable Optimal Control of a Heat Exchanger Network With Bypasses

Delatore, Fábio; Novazzi, Luís Fernando; Leonardi, Fabrizio; Cruz, José Jaime da

doi:10.1590/0104-6632.20160331s00002780

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…Consequently, in the transformed state space in (4), the controller needs to be designed such that is regulated to zero. Thus, the dynamic error is defined as (6).…”

Section: Methods 21 Mathematical Modeling Of the Plate Heat Exchangermentioning

confidence: 99%

“…Int J Elec & Comp Eng ISSN: 2088-8708  Time-varying sliding mode controller for heat exchanger with dragonfly algorithm (Arsit Boonyaprapasorn) 3959 Linear and nonlinear feedback controls have been applied for temperature control of heat exchangers [2]- [11], e.g., the robust controller [5], the linear quadratic regulator [6], and the proportionalintegral-derivative (PID) controller based on the internal model [9]. However, since the heat exchanger is a nonlinear dynamical system, the feedback controller designed using an approximated linear model may perform effectively only around the equilibrium point.…”

Section: Introductionmentioning

confidence: 99%

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Time-varying sliding mode controller for heat exchanger with dragonfly algorithm

Boonyaprapasorn

Kuntanapreeda

Ngiamsunthorn

et al. 2023

IJECE

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<span lang="EN-US">This article proposes the design of a sliding mode controller with a time-varying sliding surface for the plate heat exchanger. A time-varying sliding mode controller (TVSMC) combines the benefit of the control system’s robustness and convergence rate. Using Lyapunov stability theory, the stability of the designed controller is proved. In addition, the controller parameters of the designed controller are specified optimally via the dragonfly algorithm (DA). The input constraint’s effect is considered in the controller design process by applying the concept of the auxiliary system. The bounded disturbances are applied to investigate the robustness of the proposed techniques. Moreover, the quasi-sliding mode controller (QSMC) is developed as a benchmark to evaluate the convergence behavior of the proposed TVSMC technique. The simulation results demonstrate the proposed TVSMC with the optimal parameters provided by the DA algorithm (TVSMC+DA) can regulate the temperature to the desired level under bounded disturbances. When compared to the QSMC method, the TVSMC+DA performs significantly faster convergence speed and greater reduction in chattering occurrence. The results clearly indicate that the proposed controller can enhance convergence properties while being robust to disturbances.</span>

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“…Consequently, in the transformed state space in (4), the controller needs to be designed such that is regulated to zero. Thus, the dynamic error is defined as (6).…”

Section: Methods 21 Mathematical Modeling Of the Plate Heat Exchangermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Time-varying sliding mode controller for heat exchanger with dragonfly algorithm

Boonyaprapasorn

Kuntanapreeda

Ngiamsunthorn

et al. 2023

IJECE

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“…The generally accepted logic of solving the formulated problem leads to the replenishment of conservation laws with models of elements [6,7], [8] and iterative schemes for its solution [9,10], [11]. The disadvantages of this approach are well known (see, for example, [15]).…”

Section: Analysis Of the Bypass Connection Modelmentioning

confidence: 99%

“…A neural network intelligent control is proposed for a network of heat exchangers based on a lumped model and accepted constraints. The design of heat exchange systems is also associated with the provision of HEN flow control capabilities in the heat exchanger network, and bypass manipulation provides higher dynamic characteristics of the system [8], as well as increased reliability in the event of equipment failure [9]. Ease of maintaining the flow temperature in the network, changing the outlet flow in the network at set values or changing the outlet flow for new target values is achieved by adjusting the bypass flow in some or all of the heat exchangers [10].…”

mentioning

confidence: 99%

Improving the designing method of thermal networks: bypass connection

Derevyanko¹,

Mescheryakov²

2021

AAIT

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The paper presents the results of the development of a model of a heat exchange system with a bypass connection of flows. An analytical model of a bypass for two heat exchange elements in the form of a relationship between the temperature ratio differences of flows and efficiency has been developed. The resulting expression for the efficiency of energy exchange in the system depends on the distribution of elements and flows at the entrance to the system and does not depend on the distribution in the mixing unit. It is shown that the key factor determining both the operation of the designed system and its elements is the correspondence of the direction of the processes in the real system with their direction, hypothetically chosen by the designer when specifying its topology. The distribution of the energy potential dictates the conditions for the operability of the system and its elements through the uncertainty of the values of the average energy measures. The statement of the problem of determining the matrix elements that satisfy the requirement of the minimum uncertainty of the average energy measures leads to the determination of the distribution of the efficiency of the system elements in its topological representation in accordance with the requirements of the second law of thermodynamics. The formulated requirements for the minimality of the uncertainty of the average energy measures and the construction, based on the Shannon principle, make it possible to obtain a solution to the formulated problem as a finite subset of the values of the efficiency of the inter-network and intra-network energy exchange. In addition, the extremeness of solutions (minimum uncertainty of average energy measures) ensures the maximum efficiency of energy transfer from the “hot” network to the “cold” network in its elements and the minimum energy dissipation in the mixing nodes. The urgency of the topic is due to the fundamental need to reduce energy costs of systems. The applied aspect is to minimize the mass, dimensions and energy component in enterprises where thermal transformations are significant.

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“…In the literature, the bypass control of HEN was formulated using deterministic approaches like linear quadratic regulator (LQR). [4] The optimal bypass location was selected by calculating the non-square relative gain array. [1] The control problem of the HEN is considerably challenging because of the highly non-linear dynamics and significant disturbances in inlet temperatures of streams.…”

Section: Introductionmentioning

confidence: 99%

Bypass control of heat exchanger network under uncertainty

Manchikatla

Huang

2022

Can J Chem Eng

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The dynamic control of the heat exchanger network is important for developing energy‐efficient and safe industrial processes. In such a system, the control is achieved through the bypass stream around the heat exchanger. This work aims to track the setpoint temperature of the mixed stream by manipulating the bypass fraction of the cold stream around the heat exchanger. The implemented control is in a non‐linear model predictive control (NMPC) framework. The first‐principles model of a shell and a tube heat exchanger is used. The orthogonal collocation technique is used to discretize the first‐principles model into the system of algebraic equations. In this work, uncertainty is also considered in the inlet temperature of the hot stream. The uncertain optimal control problem is dealt with by using a scenario tree‐based approximation along with the affine policy‐based method. The results show that, under different scenarios of uncertainty, the controlled variable efficiently tracks the setpoint. In comparison, considering the same scenarios of uncertainty used, the deterministic optimization approach shows significant deviation in the controlled variable from the setpoint as time passes.

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Multivariable Optimal Control of a Heat Exchanger Network With Bypasses

Cited by 7 publications

References 9 publications

Time-varying sliding mode controller for heat exchanger with dragonfly algorithm

Time-varying sliding mode controller for heat exchanger with dragonfly algorithm

Improving the designing method of thermal networks: bypass connection

Bypass control of heat exchanger network under uncertainty

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