An efficient tuning of fractional order PID controller for an industrial control process

Divya, N.; Manoharan, S.; Arulvadivu, J.; Palpandian, P.

doi:10.1016/j.matpr.2021.12.255

Cited by 11 publications

(9 citation statements)

References 4 publications

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“…FOPID tuning adds two new parameters for integer and derivative order, namely λ and μ, along with the PID tuning parameters. The inclusion of two additional parameters results in a substantial improvement in process performance [ 39 ].…”

Section: Results and Simulationmentioning

confidence: 99%

Frequency control of nuclear-renewable hybrid energy systems using optimal PID and FOPID controllers

Hasan¹,

Masud²,

Haque³

et al. 2022

Heliyon

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Section: Results and Simulationmentioning

confidence: 99%

Frequency control of nuclear-renewable hybrid energy systems using optimal PID and FOPID controllers

Hasan¹,

Masud²,

Haque³

et al. 2022

Heliyon

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“…In the case of a trajectory-tracking controller a linear time-varying system is obtained by approximate linearization around the trajectory. The linearization obtained is shown to be controllable as long as the trajectory does not come to a stop, which implies that the system can be asymptotically stabilized by smooth linear or nonlinear feedback (Divya et al, 2022;Ghasemi et al, 2023).…”

Section: Definition Of the Trajectory-tracking Problem And The Error-...mentioning

confidence: 95%

The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR

Qev

Meshach

2022

IJEC

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There has been an increasing amount of research on WMRs. The WMRs have lots of advantages: their mechanical system is usually simple; the whole movement mostly contains two dependent motors; and their motions in two-dimensional space are quite adaptable. At the same time, the WMRs have better power efficiency. WMRs have been studied from many points of view, such as modelling control, obstacle avoidance, localization, tip-over stability, and so on. This paper discusses the control algorithm. WMRs have nonholonomic constraints. That is, the mobile robot may not be able to reach a specific position and angle in a specific time; however, the robot can reach the target in a different motion or within a limited time. In this paper, an error model based on the WMR is introduced. The model explains the error between the actual position and the ideal or target position in the continuous motion of WMRs. The error model will be transformed into a state-space equation in order to demonstrate that the algorithm that controls the WMR`s movement is controllable. By splitting the inputs into and , the whole equation is transformed into a zero-input state-space system. Then, the errors can be minimized with the optimization of the feedback. The results show that by optimizing the time-varying feedback matrix, the error is asymptotically stable and close to zero. Therefore, by adding this control law to the controller, an approach to making mobile robots follow the planned trajectory is obtained.

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“…Selecting appropriate values for α and β is contingent upon the specific characteristics of the controlled system. It's worth noting that the design and tuning of FO-PID controllers can be more intricate than their integer-order counterparts due to the inclusion of fractional-order parameters 45 – 47 . Determining suitable values for , , , α , and β often necessitates the application of optimization techniques and system identification methodologies.…”

Section: The Proposed Techniquementioning

confidence: 99%

Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults

Sabzevari,

Khosravi,

Abdelghany

et al. 2023

Sci Rep

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The power grid faults study is crucial for maintaining grid reliability and stability. Understanding these faults enables rapid detection, prevention, and mitigation, ensuring uninterrupted electricity supply, safeguarding equipment, and preventing potential cascading failures, ultimately supporting the efficient functioning of modern society. This paper delves into the intricate challenge of ensuring the robust operation of wind turbines (WTs) in the face of fault conditions, a matter of substantial concern for power system experts. To navigate this challenge effectively, the implementation of symmetrical fault ride-through (SFRT) and asymmetrical fault ride-through (AFRT) control techniques becomes imperative, as these techniques play a pivotal role in upholding the stability and dependability of the power system during adverse scenarios. This study addresses this formidable challenge by introducing an innovative SFRT–AFRT control methodology based on rotor components optimization called RCO tailored for the rotor side converter (RSC) within a doubly-fed induction generator (DFIG) utilized in wind turbine systems. The proposed control strategy encompasses a two-fold approach: firstly, the attenuation of both positive and negative components is achieved through the strategic application of boundary constraints and the establishment of reference values. Subsequently, the optimization of the control characteristic ‘$$\beta$$ β ’ is accomplished through the utilization of a particle swarm optimization (PSO) algorithm integrated within an optimization loop. This intricate interplay of mechanisms aims to optimize the performance of the RSC under fault conditions. To measure the efficacy of the proposed control technique, a comparative analysis is conducted. Fractional-order (FO) proportional–integral–derivative (PID) controllers are employed as an additional method to complement the novel approach. By systematically juxtaposing the performance of the proposed SFRT–AFRT control technique with the FO-PID controllers, a comprehensive evaluation of the proposed approach's effectiveness is attained. This comparative assessment lends valuable insights into the potential advantages and limitations of the novel control technique, thereby contributing to the advancement of fault mitigation strategies in WT systems. Finally, the paper highlights the economic viability of the proposed control method, suggesting its suitability for addressing broader power network issues, such as power quality, in future wind farm research.

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An efficient tuning of fractional order PID controller for an industrial control process

Cited by 11 publications

References 4 publications

Frequency control of nuclear-renewable hybrid energy systems using optimal PID and FOPID controllers

Frequency control of nuclear-renewable hybrid energy systems using optimal PID and FOPID controllers

The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR

Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults

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