Design of fractional order 2-DOF PI controller for real-time control of heat flow experiment

Jain, Mamta; Rani, Asha; Pachauri, Nikhil; Singh, Vijander; Mittal, Alok Prakash

doi:10.1016/j.jestch.2018.07.002

Cited by 27 publications

(16 citation statements)

References 35 publications

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“…In the forward path a unity feedback reference model was utilized. In a real‐time heat flow experiment (HFE) for temperature control a two degree of freedom fractional order PI controller was explained by M. Jain et al At the cost of large number of tuning parameters and controller design turns into a combinatorial issue the introduction of two degrees of freedom and fractional calculus to PI controller enhances its flexibility. Controller parameters are hence optimized by water cycle algorithm (WCA) which prompts WCA tuned two degree of freedom fractional order PI (W2FPI) controller.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Sumathi¹,

Umasankar²

2019

Int J Numerical Modelling

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In this article, an optimal design of the fractional order proportional integral derivative (FOPID) controller for time delay system is proposed. The proposed optimal design is the combined performance of both the cuttlefish optimizer (CFO) and Opposition-based learning (OBL) scheme called CFOBL scheme. The proposed CFOBL uses the concept of opposition based population initialization and opposition based position updating to improve its searching behavior, computational speed and convergence profile in the basic CFO. In FOPID controller, apart from the three tuning parameters (G P , G I , and G D ) there are two additional tuning parameters that are λ and μ. Here, CFOBL is used to tune the three controller parameters and also to find the optimal values of λ and μ. The uniqueness of the proposed technique is to reduce the FOPID controller's fault in the higher order time delay scheme by the aid of the controller's increase limits. The objective of the proposed technique is chosen by considering the set point parameters and the accomplished parameters from the time delay system. The proposed technique is used to avoid high-order delays and reliability constraints such as small overruns, time resolution and fixed condition defects. This technique is performed on the MATLAB/ Simulink platform and the results are compared with different existing techniques such as Ziegler-Nichols (ZN) tuning method, curve fitting (CF) technique, Wang technique, and regression technique. K E Y W O R D Scuttlefish optimizer, FOPID controller, opposition based two-step approaches, reliability constraints, time delay system

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Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Sumathi¹,

Umasankar²

2019

Int J Numerical Modelling

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“…It is easy to implement as compared to GA, but a rigorous analysis is required to select the inertial weights and cognitive and social constants. Whereas artificial bee colony (ABC) requires large number of fitness function calculation, sequential processing and high computational cost (Jain et al, 2019a(Jain et al, , 2019b. Water cycle algorithm (WCA) mimics the natural phenomenon of water cycle and how streams, rivers moves downwards in the direction of sea.…”

Section: Introductionmentioning

confidence: 99%

Water cycle algorithm-based PID controller for AVR

Pachauri

2020

COMPEL

Self Cite

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Purpose In a power system, the purpose of automatic voltage regulator (AVR) is the voltage control of synchronous generator. Power system stability and security depends on the AVR. Design/methodology/approach The present work is concentrated on the precise terminal voltage control of AVR system and simultaneously maintaining the stability of the system. Therefore, an optimal proportional–integral–derivative (PID) controller is proposed. An optimization technique inspired from Mother Nature, i.e. water cycle algorithm (WCA) is used to evaluate the optimum parameter values of PID controller leading to WCA-tuned PID (WCA-PID). The performance of WCA-PID is compared with other controller reported in the literature. Findings Simulation results show that WCA-PID regulates the terminal voltage more preciously and accurately in comparison to other controller. Further, it is more robust toward parametric uncertainty, set-point tracking and disturbance rejection in comparison to other controller reported in the literature. Originality/value The work is not published anywhere else.

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“…Ahn et al (2008), proposed the use of a fractionalorder PID controller to allow a spatially distributed heat flow to more accurately follow a temperature profile and performed a real experimental study using the HFES of Quanser. Jain et al (2019), proposed a two degree of freedom FOPI controller for temperature control of a HFES and the controller parameters were optimized with a meta-heuristic algorithm called the water cycle algorithm (WCA).…”

Section: Introductionmentioning

confidence: 99%

Design, Simulation and Comparison of Controllers for Temperature Profile Tracking Control of a Heat Flow System

Can

Sekban

Orman

et al. 2020

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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In this paper, the design, simulation and performance comparison of the three different controllers applied to the heat flow system (HFS) are presented. First, the dynamic model of the HFS was obtained and so as to test the temperature control, sliding mode controller (SMC), adaptive sliding mode controller (ASMC) and adaptive fractional order sliding mode controller (AFOSMC) are designed and applied. To analyse the performance of the designed controllers a simulation environment is developed via the Matlab/Simulink software. The results, obtained through a simulation environment are represented by tracking error, adaptation gain, response to sudden changes, maximum overshoot, rise time and settling time and they showed that the heat flow system follows the reference temperature profile trajectory with less errors, overshoot, rise time and settling time by using the AFOSMC than the other controllers. Also, the maximum errors, rise time and settling time occurred when the sliding mode controller is used.

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Design of fractional order 2-DOF PI controller for real-time control of heat flow experiment

Cited by 27 publications

References 35 publications

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Water cycle algorithm-based PID controller for AVR

Design, Simulation and Comparison of Controllers for Temperature Profile Tracking Control of a Heat Flow System

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