Abstract
The main purpose of this thesis is to propose an active vibration control system to minimize the vibration of the structure. Vibration control is still the challenging problem in the field of control engineering. In this thesis, two electromagnetic actuators are used to minimize the vibration of the structure. Fuzzy logic control techniques are adopted here as the control system. Two electromagnets are placed at the midpoint of the beam, one above the structure and one below the structure. The beam model is first deriving analytically according to the Euler–Bernoulli beam theory. A noncontact displacement sensor is used to measure the displacement of the mid-span of the beam. The fuzzy logic control technique is used as controller to decide the output direct current (D.C.) passing through the coils of the electromagnet based on velocity and displacement of midpoint of the beam. When any external disturbance load is applied at midpoint of the beam, then beam starts to oscillate in upward and downward directions from static equilibrium position. During the upward displacement of the beam from the static equilibrium position, the bottom electromagnet actuator is switched on and electromagnet will give a magnetic force in the opposite direction of motion of the beam. Similarly, during the downward movement of the beam below the static equilibrium position, the top electromagnetic actuator is switched on and electromagnet will give a magnetic force in the opposite downward motion of the beam. In this thesis, it is shown that the proposed damper successfully minimizes the amplitude of vibration of the beam due to the action of step excitation and chirp signal excitation.
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References
Priyadarshi N, Padmanaban S, Marcoti PK, Sharma A (2018) An extensive practical investigation of FPSO-Based MPPT for grid integrated PV system under variable operating conditions with anti-islanding protection. IEEE Syst J 1–11
Priyadarshi N, Padmanaban S, Bhaskar MS, Blaabjerg F, Sharma A (2018) A Fuzzy SVPWM based inverter control realization of grid integrated PV-wind system with FPSO MPPT algorithm for a grid-connected PV/Wind power generation system: hardware implementation. IET Electric Power Appl 1–12
Priyadarshi N, Anand A, Sharma AK, Azam F, Singh VK, Sinha RK (2017) An experimental implementation and testing of GA based maximum power point tracking for PV system under varying ambient conditions using dSPACE DS 1104 controller. Int J Renew Energy Res 7(1):255–265
Priyadarshi N, Kumar V, Yadav K, Vardia M (2017) An experimental study on Zeta buck-boost converter for application in PV system. In: Handbook of distributed generation, Springer. https://doi.org/10.1007/978-3-319-51343-0_13
Priyadarshi N, Sharma AK, Priyam S (2018) An experimental realization of grid-connected PV system with MPPT using dSPACE DS 1104 control board. In: Advances in smart grid and renewable energy. Lecture notes in electrical engineering, vol 435, Springer, Singapore
Priyadarshi N, Sharma AK, Azam F (2017) A hybrid firefly-asymmetrical fuzzy logic controller based MPPT for PV-wind-fuel grid integration. Int J Renew Energy Res 7(4)
Priyadarshi N, Sharma AK, Priyam S (2017) Practical realization of an improved photovoltaic grid integration with MPPT. Int J Renew Energy Res 7(4)
Priyadarshi N, Sharma AK, Bhoi AK, Ahmad SN, Azam A, Priyam S (2018) MATLAB/Simulink based Fault Analysis of PV Grid with Intelligent Fuzzy Logic Control MPPT. Int J Eng Tech 7:198–204
Priyadarshi N, Sharma AK, Bhoi AK, Ahmad SN, Azam A, Priyam S (2018) A practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condition. Int J Eng Tech 7:243–338
Priyadarshi N, Padmanaban S, Mihet-Popa L, Blaabjerg F, Azam F (2018) Maximum power point tracking for brushless DC motor-driven photovoltaic pumping systems using a hybrid ANFIS-FLOWER pollination optimization algorithm. MDPI Energies 11(1):1–16
Priyadarshi N, Azam F, Bhoi AK, Alam S (2019) An artificial fuzzy logic intelligent controller based MPPT for PV grid utility. Lecture notes in networks and systems, vol 46. https://doi.org/10.1007/978-981-13-1217-5_88
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Choudhary, T., Priyadarshi, N., Kumar, P., Azam, F., Bhoi, A.K. (2020). A Fuzzy Logic Control Based Vibration Control System for Renewable Application. In: Bhoi, A., Sherpa, K., Kalam, A., Chae, GS. (eds) Advances in Greener Energy Technologies. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-4246-6_38
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