In this paper, a new control method for the utilitv interactive inverter based on the deadbeat control with FPGA based hardware controller is proposed. Deadbeat conitrol is one method to ensure the output voltage or current matches to the references at thc sampling instant, so adopting this control mllethlod to thc utility interactive inverter, the response of the system is much improved with small LC filter component compared with the conventional PI control, which results in the improvement of the cost performance of the invertcr.Also, to utilize thio capability of FPGA based hardware controller, a mutlti sampling mnethod is proposdl, which enables IMHz sampling while the carrier period to improve the control accuracy.All the control circuit for the proposed cmrrent control method rusing voltage deadbeat control and PLL control with quasi-dq transformation aald multi sampling method are implemented in FPCA based hardware controller. The design concept of the controller is also described. and the advantages and the disadvantage aro dtiscussed through simulationus and experimcnts.

No abstract

In this paper, we propose a nonlinear image enhancement filter by using an edge-weighted highpass filter in a cascade configuration. The edge-weighted highpass filters have been proposed for image enhancement to suppress the amplification of noises that appear in the filter input. However, the conventional edge-weighting method can not suppress the noises that appear at image edge locations. This noise amplification causes fluctuations of the edge locations and discontinuities of contour curves in the filter output. To avoid the noise amplification at the image edge locations, we propose a cascade configuration of the edge-weighted highpass filter. Moreover, we propose the weighting function that is defined as a linear combination of the output of two edge detectors. The parameters for the linear combination are specified to minimize the noise amplification by statistical analysis of the proposed filter. Finally, we show some enhancement results that are given by the proposed method and demonstrate that the proposed method can reduce the noise amplification while preserving the image contours.

No abstract

No abstract