Design and implementation of digital fractional order PID controller using optimal pole-zero approximation method for magnetic levitation system

Chopade, Amit S.; Khubalkar, Swapnil; Junghare, Anjali S.; Aware, Mohan V.; Das, Shantanu

doi:10.1109/jas.2016.7510181

Cited by 72 publications

(39 citation statements)

References 36 publications

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“…From (11), (12), and (15), image coordinates p l and relation of welding robot before and after the movement of Y-axis is given by From (11), (12), and (15), image coordinates p l and relation of welding robot before and after the movement of Y-axis is given by…”

Section: T 11 T 12 T 13 T 14 T 21 T 22 T 23 T 24mentioning

confidence: 99%

Fractional‐order PID servo control based on decoupled visual model

Liu

Bian

Rahman

et al. 2018

Adaptive Control & Signal

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A decoupled visual model and a fractional PID controller are designed aiming at the problem of the view distortion in the fillet weld welding process. Firstly, the intersection point coordinates of two laser stripes are selected as the image characteristics, and the decoupled visual model is designed to the tracking control of the fillet weld seam so that the control value in two directions is decoupled, reducing the difficulty of control. In addition to this, the image may produce distortion in the dynamic tracking process, causing nonlinearity and coupling in two directions. To solve this problem, the fractional-order PID controller is designed so that the adjustment range and the control ability are improved better than the traditional PID controller. Some experiments verify that the desired performance can be achieved by using the proposed methods.

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Section: T 11 T 12 T 13 T 14 T 21 T 22 T 23 T 24mentioning

confidence: 99%

Fractional‐order PID servo control based on decoupled visual model

Liu

Bian

Rahman

et al. 2018

Adaptive Control & Signal

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“…The FOPID controller has widened the control span from point to plane [10]. This can control real-world processes more accurately with smaller control efforts [7,9,12]. A fractional order system can be represented by the following differential equation (Eq.…”

Section: Design Of the Proposed Fopid Controllermentioning

confidence: 99%

Modeling and control of a permanent-magnet brushless DC motor drive using a fractional order proportional-integral-derivative controller

Khubalkar¹,

Junghare²,

Aware³

et al. 2017

Turk J Elec Eng & Comp Sci

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This paper deals with the speed control of a permanent-magnet brushless direct current (PMBLDC) motor. A fractional order PID (FOPID) controller is used in place of the conventional PID controller. The FOPID controller is a generalized form of the PID controller in which the order of integration and differentiation is any real number. It is shown that the proposed controller provides a powerful framework to control the PMBLDC motor. Parameters of the controller are found by using a novel dynamic particle swarm optimization (dPSO) method. The frequency domain pole-zero (p-z) interlacing method is used to approximate the fractional order operator. A three-phase inverter with four switches is used in place of the conventional six-switches inverter to suggest a cost-effective control scheme. The digital controller has been implemented using a field programmable gate array (FPGA). The control scheme is verified using the FPGA-in-the-loop (FIL) wizard of MATLAB/Simulink. Improvement in the overall performance of the system is observed using the proposed FOPID controller. The energy efficient nature of the FOPID controller is also demonstrated.

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“…FOPID have five parameters such as P K is a proportional gain, I K is integral gain, D K is derivative gain,  is integral order and  is differential order, FOPID controller gives better flexibility and better response compare the conventional PID controller. PID has a non-integer order controller where's the FOPID controller is an improved form of PID controller by converting the integer order of derivative & integrator into the fractional-order [5][6][7]. Debbarma, 2016 [8] have presented the FPA technique for the application of LFC and tuning the FOPID parameters.…”

Section: Introductionmentioning

confidence: 99%

Application of FOPID Design for LFC Using Flower Pollination Algorithm for Three-Area Power System

Sambariya¹,

Nagar²,

Sharma³

2020

ujca

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In power system, frequency is one of the main factor which affects the A.C. system. In order to maintain the performance of the system, frequency need to be controlled on the generation part as well as load side. In this paper, fractional order PID (FOPID) controller is designed for the three-area load frequency control (LFC) in an interrelated power system (PS) in MATLAB simulation. The LFC of generating units have used in frequency control of the dissolute response in the power system. FOPID controller parameters are intended using the Flower Pollination Algorithm (FPA) for the minimize error. The prototype of generating units with FOPID controller is simulated in MATLAB/SIMULINK platform. In this study, simulation researches on a three-area LFC with different generating units are considered. The objective function is the minimization of the Integral Squared Error (ISE) for the optimum strategy of FOPID parameters. These results presented that the FOPID controller was vital to the parameter variations in the considered system. The simulation results specialized much better performance of FOPID controller for LFC in comparison with other FOPID controllers available in the literature. FPA-FOPID Controller in the system as compared to the existing ICA-FOPID and GA-FOPID controller in literature. The result shows that the FPA result outperforms as compared with other results.

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Design and implementation of digital fractional order PID controller using optimal pole-zero approximation method for magnetic levitation system

Cited by 72 publications

References 36 publications

Fractional‐order PID servo control based on decoupled visual model

Fractional‐order PID servo control based on decoupled visual model

Modeling and control of a permanent-magnet brushless DC motor drive using a fractional order proportional-integral-derivative controller

Application of FOPID Design for LFC Using Flower Pollination Algorithm for Three-Area Power System

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