This survey deals with 1/f noise in homogeneous semiconductor samples. A distinction is made between mobility noise and number noise. It is shown that there always is mobility noise with an /spl alpha/ value with a magnitude in the order of 10/sup -4/. Damaging the crystal has a strong influence on /spl alpha/, /spl alpha/ may increase by orders of magnitude. Some theoretical models are briefly discussed none of them can explain all experimental results. The /spl alpha/ values of several semiconductors are given. These values can be used in calculations of 1/f noise in devices. >

1/f Noise Sources

Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine

Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers

A survey on river water quality modelling using artificial intelligence models: 2000–2020

A review of water quality index models and their use for assessing surface water quality

Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation

Experimental investigations on the response of stitched/unstitched woven S2-glass/SC15 epoxy composites under single and repeated low velocity impact loading

In this work we present the rational and design of a methodology to support Integrated Environmental Assessment using the DPSIR (Driving Forces-Pressures-State-Impact-Response) causal-effect framework and non-monotonic Fuzzy Cognitive Maps. The methodology is based on key pillars in environmental management, namely connecting the socioeconomic and the natural environment dimensions into a policy oriented context; integration of stakeholders with inter-sectorial synergies and tradeoffs; handling of ambiguities and uncertainties intrinsic to environmental modeling and representation of complex non-linear cause-effect relationships in the form of Fuzzy Inference Systems, capable of adapting dynamically the influence between indicators. The methodology has the potential to support the development of informed policies and improves reliability through transparent, traceable and reproducible results. The illustrative example assesses the impact of air pollution abatement policies according to expert perceptions using proactive scenarios; the results revealed that, despite some positive changes, air protection activities are missing an overall strategic vision. We developed an integrated environmental assessment model using non-monotonic FCMs.DPSIR is used as a conceptual instrument to frame the selection of FCM concepts.The model supports multi-disciplinary stakeholder participation.The model is capable of handling uncertainties using Fuzzy Logic.The model is used to perform simulations of air pollution control scenarios.

A cognitive map framework to support integrated environmental assessment

In this paper, we have presented a general study of self excited induction generator used in isolated renewable energy conversion source. Tthe behaviour of generated voltage under variable load, rotor speed and excitation capacitance is presented. Also, we have proposed a robust controller suitable in order to control the terminal DC voltage under different speed and AC load conditions for supplied an isolated DC load. The experimental characteristic curve of the generator and simulation result of proposed control scheme are presented.

Backstepping control of DFIG generators for wide-range variable-speed wind turbines

With the development of wind power generation in recent years, several studies have dealt with the active and reactive power control of wind power systems, along with the quality of energy produced and the connection to distribution networks. In this context, this research proposes a new contribution to the field. The major objective of this work is the development of a nonlinear adaptive backstepping control technique applied to a DFIG based wind system and an optimization technique that uses the rooted tree optimization (RTO) algorithm. The backstepping control strategy is based on the Lyapunov nonlinear technique to guarantee the stability of the system. It is applied to the two converters (i.e., machine and network sides) and subsequently improved with estimators to make the proposed system robust to parametric variation. The RTO technique is based on monitoring the behavior of the underlying foundation of trees in search of underground water in accordance with the level of underground control. The solution proposed for the control is validated using two methods: (1) a simulation on MATLAB/Simulink to test the continuation of the reference (real wind speed) and the robustness of the system and (2) a real-time implementation on a dSPACE-DS1104 board connected to an experimental bench in a laboratory. Simulation and experimental results highlight the validation of the proposed model with better performance compared with other control techniques, such as sliding mode control, direct power control, and field-oriented control.

/pdf/rooted-tree-optimization-for-the-backstepping-power-control-1jsbdjjsau.pdf

Mohammed Karim

Papers

Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation

Experimental investigations on the response of stitched/unstitched woven S2-glass/SC15 epoxy composites under single and repeated low velocity impact loading

A cognitive map framework to support integrated environmental assessment

Backstepping control of DFIG generators for wide-range variable-speed wind turbines

Rooted Tree Optimization for the Backstepping Power Control of a Doubly Fed Induction Generator Wind Turbine: dSPACE Implementation