PID Tuning with Neutrosophic Similarity Measure

Can, Mehmet; Özgüven, Ömerül Faruk

doi:10.1007/s40815-015-0136-y

Cited by 23 publications

(16 citation statements)

References 23 publications

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“…At present, the PID tuning methods studied by scholars include genetic algorithm [19], particle swarm optimization [20], and fuzzy control algorithm [21]. e tuning of PID parameters based on neutrosophic theory was proposed by Can and Ozguven [22]. However, it uses a traversal search algorithm, and the precision and speed cannot be considered at the same time.…”

Section: Introductionmentioning

confidence: 99%

Design of Neutrosophic Self-Tuning PID Controller for AC Permanent Magnet Synchronous Motor Based on Neutrosophic Theory

Zhang¹,

Liu

Ruan

et al. 2021

Mathematical Problems in Engineering

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In practical control applications, AC permanent magnet synchronous motors need to work in different response characteristics. In order to meet this demand, a controller which can independently realize the different response characteristics of the motor is designed based on neutrosophic theory and genetic algorithm. According to different response characteristics, neutrosophic membership functions are constructed. Then, combined with the cosine measure theorem and genetic algorithm, the neutrosophic self-tuning PID controller is designed. It can adjust the parameters of the controller according to response requirements. Finally, three kinds of controllers with typical system response characteristics are designed by using Simulink. The effectiveness of the designed controller is verified by simulation results.

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Section: Introductionmentioning

confidence: 99%

Design of Neutrosophic Self-Tuning PID Controller for AC Permanent Magnet Synchronous Motor Based on Neutrosophic Theory

Zhang¹,

Liu

Ruan

et al. 2021

Mathematical Problems in Engineering

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“…Based on the real standard interval [0, 1] in actual applications, Ye (2014a) introduced simplified neutrosophic sets (SNSs), implying single-valued neutrosophic sets (SvNSs) (Wang et al, 2010) and interval-valued neutrosophic sets (IvNSs) (Wang et al, 2005), as the subclass of the neutrosophic set, which is the generalization of fuzzy sets (Zadeh, 1965), intuitionistic fuzzy sets (IFSs) (Atanassov, 1986), and in-terval-valued IFSs (IvIFSs) (Atanassov & Gargov, 1989), and then defined the operational relations and weighted aggregation operators of simplified neutrosophic elements (SNEs) for decision making (DM) applications. Since then, SNSs (SvNSs and IvNSs) have been wildly applied in DM (Liu & Wang, 2014;Peng et al, 2016;Wu et al, 2016;Sahin & Liu, 2017a, 2017bZhou et al, 2019;Köseoğlu et al, 2019), clustering analysis (Ye, 2014b), medical diagnosis (Thanh et al, 2017;Alia et al, 2018), control design (Gal et al, 2012;Can & Ozguven, 2017), mechanical fault diagnosis (Ye, 2017), and so on.…”

Section: Introductionmentioning

confidence: 99%

Simplified Neutrosophic Indeterminate Decision Making Method With Decision Makers’ Indeterminate Ranges

Rui

et al. 2020

Journal of Civil Engineering and Management

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There exists the indeterminate situations of truth, falsity, indeterminacy degrees due to the uncertainty and inconsistency of decision makers’ arguments in a complicated decision making (DM) problem. Then, existing neutrosophic set cannot describe the indeterminate information of truth, falsity, indeterminacy degrees. It is noted that the simplified neutrosophic set (SNS) is depicted by truth, falsity, indeterminacy degrees, while a neutrosophic number (NN) can be flexibly depicted by its determinate part and its indeterminate part. Regarding the indeterminate situations of truth, falsity, indeterminacy degrees in indeterminate DM problems, this study first presents a simplified neutrosophic indeterminate set (SNIS) to express the hybrid information of SNS and NN and defines the score, accuracy, and certainty functions of simplified neutrosophic indeterminate elements (SNIEs) with indeterminate ranges to compare SNIEs. Then, we introduce a SNIE weighted arithmetic averaging (SNIEWAA) operator and a SNIE weighted geometric averaging (SNIEWGA) operator to aggregate simplified neutrosophic indeterminate information. Next, a multi-attribute DM approach with decision makers’ indeterminate ranges is established regarding the SNIEWAA and SNIEWGA operators in SNIS setting. Finally, the proposed DM approach is applied in a DM example on choosing a suitable slope design scheme to indicate the applicability and suitability of the proposed approach.

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“…In the past few decades, spacecraft attitude control has gained huge attention. e conventional Proportional-Integration-Derivative (PID) or Proportional-Derivative (PD) control is the most popular industrial control method for simple structures due to its simplicity, reliability, and lowcost implementation [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Control for Attitude Stabilization of Spacecraft with Deployable Composite Laminated Solar Array

et al. 2020

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Modern spacecraft are often equipped with large-scale, complex, and lightweight solar arrays whose deployment involves a highly dynamic movement. This paper proposed a novel adaptive proportional-derivative typed fuzzy logic control scheme for the attitude stabilization of a flexible spacecraft during the deployment of a composite laminated solar array. First, a constrained rigid-flexible coupling spacecraft model consisting of a rigid main body and a flexible solar array was proposed. The solar array, which is composed of composite laminated shells, was described by the absolute nodal coordinate formulation. Then, the detailed derivation of the adaptive fuzzy PD controller for attitude stabilization of the spacecraft was discussed. In addition, the spacecraft dynamic model which integrated the adaptive fuzzy PD controller was derived as a set of differential-algebraic equations. Several simulations were developed to investigate the solar array deployment dynamics and to verify the effectiveness of the proposed adaptive fuzzy PD controller. The results suggested that the proposed dynamic model is able to exactly describe the deployment dynamics of the composite laminated solar array. The solar array deployment causes obvious translational and rotational motions of the spacecraft. The proposed adaptive fuzzy PD control scheme has better performance in terms of the control precision and time response in stabilizing spacecraft during the deployment of the composite laminated solar array, comparing with that of the conventional PD controller.

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PID Tuning with Neutrosophic Similarity Measure

Cited by 23 publications

References 23 publications

Design of Neutrosophic Self-Tuning PID Controller for AC Permanent Magnet Synchronous Motor Based on Neutrosophic Theory

Design of Neutrosophic Self-Tuning PID Controller for AC Permanent Magnet Synchronous Motor Based on Neutrosophic Theory

Simplified Neutrosophic Indeterminate Decision Making Method With Decision Makers’ Indeterminate Ranges

Adaptive Fuzzy Control for Attitude Stabilization of Spacecraft with Deployable Composite Laminated Solar Array

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