Wind Turbine
M. Kamarzarrin; M.H. Refan; P. Amiri; A. Dameshghi
Abstract
Background and Objectives: Renewable energy, like wind turbines, is growing rapidly in the world today due to environmental pollution, so their maintenance plans are very important. Fault diagnosis and fault-tolerant approaches are typical methods to reduce the cost of energy production and downtime ...
Read More
Background and Objectives: Renewable energy, like wind turbines, is growing rapidly in the world today due to environmental pollution, so their maintenance plans are very important. Fault diagnosis and fault-tolerant approaches are typical methods to reduce the cost of energy production and downtime of Wind Turbines (WTs). Methods: In this paper, a new Hardware In the Loop (HIL) simulator based on Double Feed Induction Generator (DFIG) for fault diagnosis and fault-tolerant control is proposed. The system developed as a laboratory bed uses a generator with a power of about 90 kW, which is connected from two sides to a back-to-back power converter with a power of one-third of the generator power. The generator is connected to a motor as a propulsion and wind energy replacement with a power of about 110 kW, and this connection is established through a gearbox with a gear ratio of more than three. Results: The effectiveness of the proposed simulator is evaluated based on different fault representations back-to-back converter and generator.Conclusion: The experiment shows that the Condition Based Maintenance (CBM) is improved by the proposed simulator and the fault is modeled before serious damage occurs. This setup is effective for the development of wind turbine fault analysis software. As the testing on real WTs is very expensive, to improve and develop the research fields of condition monitoring and WT control, this low-cost setup is effective.
Electronics
F. Abdi; P. Amiri; M.H. Refan
Abstract
Background and Objectives: Adaptive algorithm adjusts the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor.Methods: Vedic mathematics ...
Read More
Background and Objectives: Adaptive algorithm adjusts the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor.Methods: Vedic mathematics is used to implement the multiplier and the divider operations in the VFF equations. The linear exponentially weighted recursive least squares as the main algorithm is implemented in many applications such as the adaptive controller, the system identification, active noise cancellation techniques, and etc. The DCD method calculates the inverse matrix in the ERLS algorithm and decreases the resources used in the field-programmable gate array, also the designer can use the cheaper FPGA board to implement the adaptive algorithm because the method doesn't need lots of resources.Results: The proposed method is implemented with ISE software on the Spartan 6 Xilinx board. The proposed algorithm calculates the multiplication result with less than 15ns time and reduces the used FPGA resources to lower than 20% as compared with the classic RLS.Conclusion: The proposed method decreases the area and increases the computation speed. Also, it leads to implementing complex algorithms with simple structures and high technology.
