A new control strategy for IKN-type coolers

Nevado, Antonio; Requena, Ricardo; Viudez, Daniel; Plano, Emilio

doi:10.1016/j.conengprac.2011.05.011

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…Industrial and commercial applications of ADEX COP have been carried out with excellent results in industrial areas such as environment , cement , energy , and petrochemical .…”

Section: New Results On Optimized Adaptive Control Industrial Applicmentioning

confidence: 99%

Survey of industrial optimized adaptive control

Martín‐Sánchez

Lemos

Rodellar³

2012

Adaptive Control & Signal

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This survey paper aims, to present in a systematic way, the 'state-of-the-art' of a class of so called optimized adaptive control methodologies, where adaptive systems theory is complemented by optimal control theory. It is based on literature published since 1958 and emphasizes results with proven industrial relevance. After recalling previous adaptive systems, results that had prepared the ground for the new ideas, the analysis departs from the work on adaptive predictive control in the mid 1970s, which provided the conceptual basis for the development of this kind of technique. Well-known design methods, both from the stability and optimization perspectives, along with their results, are interpreted in an intuitive way in order to understand how control law and the adaptive mechanism complement each other to produce mature controllers that can reliably solve the industrial process dynamic stabilization problem. Surveys of industrial applications from both design perspectives are presented and industrial products based on optimized adaptive control are cited.

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“…Industrial and commercial applications of ADEX COP have been carried out with excellent results in industrial areas such as environment , cement , energy , and petrochemical .…”

Section: New Results On Optimized Adaptive Control Industrial Applicmentioning

confidence: 99%

Survey of industrial optimized adaptive control

Martín‐Sánchez

Lemos

Rodellar³

2012

Adaptive Control & Signal

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“…In this, three transfer functions 21,33,35–37 are considered namely,

{G}_{P1}

{G}_{P1G}

and

{G}_{MG}

between the moving grate's speed, its pressures and both static and moving grate are included in the process model 38–40 . The feedback control loop is realized via the controller transfer function

{G}_{PID}

.…”

Section: Configuration Of the Proposed Clinker‐coolermentioning

confidence: 99%

Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

Brijet¹,

Suresh²

2023

Optim Control Appl Methods

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The minimum air pressure necessary at the grate to penetrate a bed of heated clinker of a certain thickness and permeability is known as under‐grate pressure. It is vital to keep the under‐grate pressure consistent because excessive pressure causes the clinker to form an unstable suspension and minimum pressure allows heat from the clinker to harm the cooler grates. So it is necessary to obtain excellent performance through reasonable control methods. For this purpose, this article proposes an optimization approach for a proportional integral derivative (PID) controller to control the pressure below the grate of the clinker cooler. The proposed optimization approach is the honey badger algorithm (HBA), which mimics the feeding habits of honey badgers. The main aim of proposed approach is to maintain and regulate under‐grate pressure of clinker cooler using HBA and provide optimum cooling rate to clinker. The proposed approach based grate cooler also provide the less electricity consumption and stable temperature. The proposed technique is implemented in MATLAB and its efficiency is compared to various existing techniques. From the simulation, the electricity consumption of proposed approach RMSE is 158 and mean accuracy is 98.65. Under‐grate pressure based RMSE is 5.01 and the mean accuracy become 99.55. The outlet temperature based RMSE of proposed approach is 4.32 and mean accuracy is 81.21. These values are lower than existing approaches, it reveals the proposed approach is better than the existing one.

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“…The original AP control methodology [2,[24][25] was extended in many ways to produce the body of optimized adaptive control techniques [26,27], which has been successfully applied in many different industrial processes [28][29][30][31]. This paper goes back to the first application in the aerospace field presented in [1] and includes its AP control scheme within a global guidance system, which from a set point produced by a guidance block controls the pitch rate evolution to achieve the desired performance of the pitch angle closed loop.…”

Section: Introductionmentioning

confidence: 99%

A new pitch angle adaptive control design

Viúdez‐Moreiras

Martin

Martín‐Sánchez

2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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This paper presents a new pitch angle adaptive control design based on the pitch rate following of a desired trajectory that ensures closed loop satisfactory performance. The pitch rate is under adaptive predictive (AP) control, as previously seen in the literature, but its desired trajectory is produced by a guidance block within a global guidance system structure that ensures automatic pitch angle closed loop performance. Additionally, the guidance block presented in this paper allows satisfactory operation of the automatic pilot in a range of high control frequencies suitable for this kind of application, overcoming stability problems that may arise within these high frequencies by direct application of a pitch angle AP controller. Experimental results obtained by flying a simulated aircraft illustrate comparatively the guidance system performance, and show the robustness of the new design with aerodynamic disturbances.

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A new control strategy for IKN-type coolers

Cited by 10 publications

References 13 publications

Survey of industrial optimized adaptive control

Survey of industrial optimized adaptive control

Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

A new pitch angle adaptive control design

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