A deep analysis on optimization techniques for appropriate PID tuning to incline efficient artificial pancreas

Nagaraj, B.; Nisi, K.

doi:10.1007/s00521-018-3687-7

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…In [24], the dynamically updated PID is suggested to control the CSTR units under variable parameterise. The gray wolf optimization scheme is suggested in [25] for PID tuning, and it is shown that the suggested tuning scheme gives better control accuracy than genetic and PSO algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

et al. 2021

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The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.

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Section: Literature Reviewmentioning

confidence: 99%

A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

et al. 2021

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“…However, the direct and indirect relationships between the factors describe the situation for more clearly than the individual factors taken into isolation. In this technique a set of different direct and indirect elements are structured into a comprehensive structured model [6]. The model so framed depicts the structure of a complex issue or problem in a carefully designed pattern.…”

Section: Interpretative Structural Modellingmentioning

confidence: 99%

Research and Finding Technical Enablers using Ism for Industry 4.0 in Indian Agricultural Industries

2019

IJITEE

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At the present scenario, agriculture industries are working hard to produce farmer satisfied products at affordable cost. The globalization and heavy worldwide competition stress them to precise and sustain in the market. The existing system are to be modified for smart manufacturing to cop up international benchmarking. The modifications consist of modern machine tools, automation system, machine learning technologies and systematic approach. The existing system and path for every individual industry are unique. Here the skill needed is to fit suitable enablers to the factors. The enactment of Industry 4.0 appropriately to industry is a task, because different industries lie at different sectors. In this context a study is carried to identify the important technological enablers for the enactment of Industry 4.0 in Indian agricultural industries. Various enablers essential for implementing Industry 4.0 has been identified from literature review. The Interpretive structural modelling(ISM) is employed for finding the mutual relationship among the enablers. Data collected to rank the enablers in the agricultural field. The technological enablers are further being classified as dependent and driving factors. Thus a hypothetical model is created based on literature review. A proper acknowledgement of interactions among enablers will help organization to rank the factors and manage these factors with more efficiency to produce advantages of implementing Industry 4.0. This paper is aiming to identify the various enablers to implement Industry4.0 in Indian industries.

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“…Ibrahim et al, [7] proposed look into structure, ideal and solid undertaking asset arranging framework in particular AHP-RCF framework.. In this exploration strategy, necessities of many types in particular application prerequisite, process necessities and plan prerequisites are positioned dependent on their need level utilizing AHP technique.…”

Section: Shameed Ibrahim Sseetha Raman Mgowthammentioning

confidence: 99%

Requirements of ERP Vendors using Hybrid Hierarchy Process with Artificial Neural Network (Hahp-Ann) Method

2019

IJITEE

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The Enterprise Resource Planning framework (ERP) has been called attention to as special data frameworks paradigm. In any case, accomplishing an appropriate degree of ERP achievement depends on an assortment of factors that are identified with an association or venture condition.Those ERP projects should be satisfied by the customers and vendors in terms of ease of accessibility, flexibility, efficiency and reliability. In our existing work, AHP-RCF method uses requirements in the rank based priority level. However, it has not been discussed about the decision criteria of the customers. In our paper ,a mix approach between the AHP and ANN has been created to assess and choose the good degree of customization that is the requirements that can perform customization in a well efficient manner. The proposed method HAHP-ANN is used to measure the weight of customization and various structures of multi-layer neural networks have been analysed for the optimization. Also the learning of projectinformation gathering is done by using mix SVM classification approach based on which dynamic updation about the projectneeds can be provided to the user customization. The general valuation of the research strategy is led in the java modelbackgroundcondition from which it is demonstrated that the proposed research procedure prompts give the ideal result than the current research systems

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A deep analysis on optimization techniques for appropriate PID tuning to incline efficient artificial pancreas

Cited by 14 publications

References 12 publications

A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

Research and Finding Technical Enablers using Ism for Industry 4.0 in Indian Agricultural Industries

Requirements of ERP Vendors using Hybrid Hierarchy Process with Artificial Neural Network (Hahp-Ann) Method

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