Author
B. Ravindra
Other affiliations: Technische Universität Darmstadt, Darmstadt University of Applied Sciences, Alstom ...read more
Bio: B. Ravindra is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Solar power & Photovoltaic system. The author has an hindex of 11, co-authored 30 publications receiving 569 citations. Previous affiliations of B. Ravindra include Technische Universität Darmstadt & Darmstadt University of Applied Sciences.
Papers
More filters
01 Oct 2014
TL;DR: The Indian Institute of Technology, Jodhpur (IITJ) has been monitoring and recording all the parameter of 101 kW (43.30 kW amorphous silicon (A-Si) based PV system located at Block 1 and 58.08 kW crystalline silicon (C-Si)-based PV system at Block 2 as discussed by the authors.
Abstract: The Indian Institute of Technology, Jodhpur (IITJ) has been monitoring and recording all the parameter of 101 kW (43.30 kW A-Si PV system located in Block 1 and 58.08 kW C-Si PV system in Block 2) grid tied solar photovoltaic system over the 4 year. The paper present the operational data 43.30 kW amorphous silicon (A-Si) based PV system located at Block 1 and 58.08 kW crystalline silicon based PV system at Block 2 of IIT Jodhpur. This paper helps in a study of the performance and consistency of this system. This paper will estimate the theoretical and actual Power output, Energy yield of the both PV systems. During the year, the PV systems in Jodhpur, India have generated a 74922 kWh by C-Si PV and 55910 kWh solar energy by A-Si PV system. As a whole, the location of Solar PV system is the primary reason of energy variability and system production.
14 citations
TL;DR: In this paper, the authors analyzed the harmonic vibration isolation characteristics of periodic systems and derived a propagation constant to render the computational effort independent of the number of periodic elements present in the system.
10 citations
TL;DR: In this paper, the characterization of a chaotic attractor in a driven, Duffing-Holmes oscillator with power-law damping is considered and the invariants associated with the attractor such as correlation dimension and entropy are computed.
Abstract: The characterization of a chaotic attractor in a driven, Duffing-Holmes oscillator with power-law damping is considered State space reconstruction of the time series of the attractor is carried out to investigate its structure. The invariants associated with the attractor such as correlation dimension and entropy are computed. Also the maximum-likelihood (ML) estimation of dimension and entropy are carried out. The use of obtained invariants in building models for prediction and control using power-law dampers is discussed.
10 citations
TL;DR: In this article, a combination of parametric perturbation and feedback control strategy is proposed for local control of chaos using feedback, and stability analysis is presented based on the Lyapunov second method.
8 citations
TL;DR: It is shown that the proposed theory enables an extension of Snowdon’s theory of vibration isolation, and an example of a periodic vibration isolator, consisting of sandwiched rubber springs, is studied.
Abstract: Love-theoretical analysis of periodic system of rods is presented. It is shown that the proposed theory enables an extension of Snowdon’s theory of vibration isolation. An example of a periodic vibration isolator, consisting of sandwiched rubber springs, is studied.
8 citations
Cited by
More filters
TL;DR: In this paper, a comprehensive assessment of recent developments of nonlinear isolators in the absence of active control means is presented, which highlights resolved and unresolved problems and recommendations for future research directions.
885 citations
TL;DR: In this article, a different approach is adopted, and proper orthogonal decomposition is considered, and modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data.
Abstract: Modal analysis is used extensively for understanding the dynamic behavior of structures. However, a major concern for structural dynamicists is that its validity is limited to linear structures. New developments have been proposed in order to examine nonlinear systems, among which the theory based on nonlinear normal modes is indubitably the most appealing. In this paper, a different approach is adopted, and proper orthogonal decomposition is considered. The modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data. The utility of the method for dynamic characterization and order reduction of linear and nonlinear mechanical systems is demonstrated in this study.
838 citations
TL;DR: The equivalence of the matrices for processing, the objective functions, the optimal basis vectors, the mean-square errors, and the asymptotic connections of the three POD methods are demonstrated and proved when the methods are used to handle the POD of discrete random vectors.
682 citations
TL;DR: A survey of the emerging field termed “control of chaos” is given, which includes traditional control engineering methods including linear, nonlinear and adaptive control, neural networks and fuzzy control, and applications in various fields of engineering.
364 citations
TL;DR: In this paper, a vibration isolator consisting of a vertical linear spring and two nonlinear pre-stressed oblique springs is considered, and the softening parameter leading to quasi-zero dynamic stiffness at the equilibrium position is obtained as a function of the initial geometry, pre-stress and the stiffness of the springs.
355 citations