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Optimal tuning of decentralized fractional order PID controllers for TITO process using equivalent transfer function

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TLDR
A bat optimization algorithm is utilized to independently design a diagonal fractional order PI/PID controller based on ETF model based on the equivalent transfer function (ETF) model and simplified decoupler.
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This article is published in Cognitive Systems Research.The article was published on 2019-12-01. It has received 44 citations till now. The article focuses on the topics: PID controller.

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Citations
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Journal ArticleDOI

Fractional-Order PID Controller Design for Time-Delay Systems Based on Modified Bode’s Ideal Transfer Function

TL;DR: The proposed FOPID controller design is extended to multi-input and multi-output (MIMO) systems by using disturbance observer (DOB) and simulation results are presented to show the effectiveness of the proposed method.
Journal ArticleDOI

Vehicle Detection in High Resolution Satellite Remote Sensing Images Based on Deep Learning

TL;DR: The vehicle detection based on deep learning algorithm in high resolution satellite remote sensing images has high accuracy, can effectively detect speeding vehicles, and can play a normal role in practical applications.
Journal ArticleDOI

Extended State Observer-Based IMC-PID Tracking Control of PMLSM Servo Systems

TL;DR: Li et al. as mentioned in this paper proposed an internal model control PID method based on a model linear extended state observer, which is termed as IMC-PID-MLESO method, with known parameter information, is designed to improve the estimation accuracy for the system states and total unknown uncertainties.
Journal ArticleDOI

Acoustic Detection and Recognition of Dolphins using Swarm Intelligence Neural Networks

TL;DR: An accurate dolphin recognizer and a multi-layer perceptron neural network (MLPNN) are developed and simulation results indicated that the weighted-chimp optimizer and the proposed recognizer outperform other benchmark recognition methods significantly.
Journal ArticleDOI

A Survey of Fractional Order Calculus Applications of Multiple-Input, Multiple-Output (MIMO) Process Control

TL;DR: This work discusses the state-of-the-art of fractional control applied to MIMO systems and outlines different types of applications, fractional controllers, controller tuning rules, experimental validation, software, and appropriate loop decoupling techniques, leading to literature gaps and research opportunities.
References
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Journal ArticleDOI

Bat algorithm: a novel approach for global engineering optimization

TL;DR: A new nature‐inspired metaheuristic optimization algorithm, called bat algorithm (BA), based on the echolocation behavior of bats is introduced, and the optimal solutions obtained are better than the best solutions obtained by the existing methods.
Journal ArticleDOI

Review of fractional PID controller

TL;DR: This review investigates its progress since the first reported use of control systems, covering the fractional PID proposed by Podlubny in 1994, and is presenting a state-of-the-art fractionalpid controller, incorporating the latest contributions in this field.
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Independent design of multi-loop PI/PID controllers for interacting multivariable processes

TL;DR: In this paper, an effective open-loop transfer function (EOTF) is introduced to decompose a multi-loop control system into a set of equivalent independent single loops, and the individual controller of each single loop is then independently designed by applying the internal model control (IMC)-based PID tuning approach for single-input/single-output (SISO) systems.
Journal ArticleDOI

Equivalent transfer function method for PI/PID controller design of MIMO processes

TL;DR: In this paper, an engineering oriented control system design method for multivariable processes is presented by employing the concepts of energy transmission ratio and effective relative gain, an equivalent transfer function matrix for closed loop control system can be obtained.
Journal ArticleDOI

Auto-tuning of TITO decoupling controllers from step tests

TL;DR: A new robust identification method from step tests is presented first for SISO processes and then sequentially applied to TITO processes, resulting in a new 1st-order plus dead-time model for decoupler design and the 2nd-order one for decentralized PID sequential tuning.
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