Optimized PID Controller for Magnetic Levitation System

Yadav, Shekhar; Verma, Santosh Kumar; Nagar, Shyam Krishna

doi:10.1016/j.ifacol.2016.03.151

Cited by 64 publications

(33 citation statements)

References 6 publications

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“…Magnetic levitation system are often used to verify control algorithms [18][19][20]. The simplified magnetic levitation control system model is shown in Figure 2 [21], m is the mass of the suspended magnet, i is the current of the electromagnet coil, u is the input voltage, f is the electromagnetic levitation force, z is the distance between the electromagnet and the track, N is the number of coil windings, R 0 is the coil resistance, A is the effective area of the magnetic pole, R T is the air gap resistance, and Φ T is the main pole flux.…”

Section: Passivity-based Control For Magnetic Levitation Systemmentioning

confidence: 99%

Passivity-Based Control Design for Magnetic Levitation System

et al. 2020

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The passivity-based control (PBC) is a new direction of nonlinear control, but the method is basically a qualitative method. A quantifiable design method in combination with PBC is provided in this paper. To solve the partial differential equation (PDE) for PBC, the nonlinear system must first be transformed into a Hamiltonian model. The PDE for the Hamiltonian system is then quantifiably solved with an electromagnetic levitation example. The resulting control law is presented and discussed. The proposed method provides a practical design tool for nonlinear control.

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Section: Passivity-based Control For Magnetic Levitation Systemmentioning

confidence: 99%

Passivity-Based Control Design for Magnetic Levitation System

et al. 2020

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“…To overcome those difficulties in designing a controller for position control of the levitated object in a MAGLEV system, variety of techniques have been developed by different researchers. Naturally, by optimizing their parameters utilizing various approaches, PID controllers has been used in controlling MAGLEV systems as well [20][21][22][23][24][25][26][27]. Several researchers have developed different FOPID controllers to obtain stable levitating and reinforced trajectory tracking control of Maglev system [28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Design of a MAGLEV System with PID Based Fuzzy Control Using CS Algorithm

Ataşlar-Ayyıldız

Karahan

2020

Cybernetics and Information Technologies

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The main aim of this study consists of proposing a simple but effective and robust approach for PID type fuzzy controller (Fuzzy-PID) in order to improve the dynamics and stability of a magnetic ball levitation system. The design parameters of the proposed controller are optimally determined based on Cuckoo Search (CS) algorithm. During the optimization, a time domain objective function is used for minimizing the values of common step response characteristics for the optimal selection of the controller parameters. Robustness tests are performed to evaluate the performance of the proposed controller through extensive simulations under load disturbance, parametric variation and changes in references. Moreover, to show the advantage and compare the performance of the proposed controller, the PID and Fractional Order PID (FOPID) controllers tuned with CS are designed. The simulation results and comparisons with the CS based PID and FOPID controllers demonstrate that the CS based Fuzzy-PID controller has superior performance depending on small overshoot, short settling time, fast rise time and minimum steady state error. Compared with the PID and FOPID controller tuned with CS, the simulation results show that the proposed Fuzzy-PID controller tuned with CS outperforms in terms of the accuracy, robustness and the least control effort.

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“…Different researcher have been used various control method to stable the magnetic suspension system. PID algorithms is most widely used controller in industry today because of its simplicity, ease of implementation and robustness [7]. [8] experimented a stabilized closed loop control of 1-DOF maglev using Proportional Integral Derivative (PID) and Linear Quadratic Regulator (LQR) controllers and examined the compare the stability performance of the maglev system under external disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Yaseen et al [9] proposed a magnetic levitation system implemented under the effect of three types of controller which are Linear-quadratic regulator (LQR), proportional-integralderivative controller (PID) and Lead compensation and compared in term of three parameters Peak overshoot, Settling time and Rise time. Shekhar Yadav et al [7] designed an optimized proportional-integral-derivative (PID) controller using grey wolf optimizer (GWO) in frequency domain. Eng.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control of a Magnetic Levitation System Using an Analog Controller

Rasid¹,

Hossain²,

Hoque³

et al. 2019

Acta electron. Malays.

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This paper presents the modeling and control the position of the ferromagnetic ball in a controlled environment using analog controller where the current is varied in the electromagnet to keep the stable position of the ball. Generally, open loop magnetic levitation system is unstable non-linear system. Also, external disturbances are acting on the system making the control is very complex. First, analog controller based magnetic suspension system model is built to represent the dynamic behavior between the current of the electromagnetic coil and position of the ferromagnetic ball suspended. The model is developed using PID controller because it is the most popular industrial controller today. The PID controller is designed using pole assigned method so that pole of the designed system lies on the left half plane. The developed model is simulated using the proposed analog PID controller where step response and frequency response of the system is measured and made the system stable by tuning the proportional, integral and derivative parameter of the PID control. Then, experimental setup of the magnetic levitation system is developed and same control methodology is used to stable the position of the ferromagnetic ball as with simulation. Finally, the position of the levitated ball is suspended using the same control parameter of simulation.

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Optimized PID Controller for Magnetic Levitation System

Cited by 64 publications

References 6 publications

Passivity-Based Control Design for Magnetic Levitation System

Passivity-Based Control Design for Magnetic Levitation System

Design of a MAGLEV System with PID Based Fuzzy Control Using CS Algorithm

Modeling and Control of a Magnetic Levitation System Using an Analog Controller

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