Novel fuzzy fractional order PID controller for non linear interacting coupled spherical tank system for level process

Jegatheesh, A.; Kumar, C. Agees

doi:10.1016/j.micpro.2019.102948

Cited by 46 publications

(19 citation statements)

References 5 publications

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“…Various methodologies involve data mining, statistics, clustering, regression, classification and natural language processing for big data evaluation [29,30]. In the recent years, the new strategies have been adopted for overcoming the big data complexities like probabilistic graphics, support vector machines, and various other regression, clustering and data mining methods [31][32][33].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on vibration mechanism and control technology of building structure under earthquake action

Gu¹,

Liu²,

Tong³

et al. 2021

J. vibroeng.

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The large engineering building structures are costly and thus complex to maintain due to their chances of failure under various hazardous conditions. These buildings are needed to be protected against the damage due to the hazards like earthquake, wind, seismic waves, etc. This article focuses on the investigation of vibration mechanism and control strategies for protection of buildings from the hazardous situations. The article presents a robust solution of utilization of magnetorheological dampers for vibration control applications in complex structures. It aims at developing a reliable decentralized model to track and monitor the building structures and control them before the earthquake actions are encountered. This article develops a novel dynamically optimized and decentralized mechanism using the PID controller for the self-regulation of conventional PID controller-based method. The major goal of decentralization is to ensure that each of the subsystem is compatible with one another and can also work independently with a higher efficiency at the time of fault. The combination of decentralization and self-regulation is tested for a tall building structural model with 10 floors. The proposed approach is compared with the conventional PID based mechanism under the faulty condition in order to illustrate its dynamism and usefulness for practical implementation. The proposed simulated model provides 95.54 % earthquake tracking precision and can be used for developing the earthquake protective schemes for the adequate survivability of tall building structures as well as to safeguard the human occupant in it.

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Section: Literature Reviewmentioning

confidence: 99%

Research on vibration mechanism and control technology of building structure under earthquake action

Gu¹,

Liu²,

Tong³

et al. 2021

J. vibroeng.

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show abstract

“…Because PID algorithm is simple and its control effect is good, it is widely used in various fields of industry. [31] In PID control, the introduction of signal differential value can improve the dynamic characteristics of the system, but it is also easy to cause large and frequent fluctuations in the output control quantity. Therefore, the PID controller with low-pass filter is adopted in this study, and its transfer function can be expressed as…”

Section: Proportional Integral Differential Controlmentioning

confidence: 99%

Novel Hybrid Control Scheme of a Proton Exchange Membrane Fuel Cell Air Supply System

et al. 2021

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A hybrid control scheme of the fuel cell air supply system based on model predictive control (MPC) and proportional integral differential (PID) control is proposed for adjusting the oxygen excess ratio at a given setpoint in this paper. In the proposed scheme, the cooperative control of air compressor and back pressure valve in the fuel cell air supply system is realized by MPC. When the system is in steady state under the MPC, PID is introduced, so that the steady‐state error, which is caused by the mismatch between the control model in MPC and the controlled system during MPC control, can be eliminated. To reduce the mismatch between the control model and the controlled air supply system, back propagation neural network and look‐up table method based on bilinear interpolation are used to calculate the output air flow rate and efficiency of the air compressor in the air supply system. Simulation results show that the proposed control scheme has a better performance compared with proportional integral control, active disturbance rejection control, and single MPC. In addition, the proposed control scheme also shows good fault tolerance in the case of air supply system failure.

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“…Jegatheesh and Kumar [27] proposed a study to control the liquid level of Two Tank Spherical Interacting System where they posited Fuzzy Fractional Order Proportional Integral Derivative (FFOPID) controller. Experimental outcomes prove that FFOPID is superior to all other existing methods in terms of various time domain specifications and time integral performance measurements.…”

Section: Introductionmentioning

confidence: 99%

Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID

Al‐Dhaifallah

2022

Applied Sciences

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In this research, a control mechanism for fuzzy fractional-order proportional integral derivatives was suggested (FFOPID). The fractional calculus application has been used in different fields of engineering and science and showed to be improved in the past few years. However, there are few studies on the implementation of the fuzzy fractional-order controller for control in real time. Therefore, for an experimental pressure control model, a fractional order PID controller with intelligent fuzzy tuning was constructed and its results were calculated through simulation. To highlight proposed control scheme advantages, the performances of the controller were inspected under load disturbances and variations in set-point conditions. Furthermore, with classical PID control schemes and fractional order proportional integral derivative (FOPID), a comparative study was made. It is revealed from the results that the suggested control scheme outclasses other categories of the control schemes.

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Novel fuzzy fractional order PID controller for non linear interacting coupled spherical tank system for level process

Cited by 46 publications

References 5 publications

Research on vibration mechanism and control technology of building structure under earthquake action

Research on vibration mechanism and control technology of building structure under earthquake action

Novel Hybrid Control Scheme of a Proton Exchange Membrane Fuel Cell Air Supply System

Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID

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