5. Conclusion
In this paper, we have presented a study that compares the Kalman filter based approach and H1 filter based approach with respect to delay compensation of SPNDs. The results indicate that although both the method can be modified to build a suitable delay compensation algorithm, the H1 due to its strict upper bound on performance, results into higher filter gain and provides a lower response time with slightly increase noise. We have built the trade-off curves for both the technique that makes the selection process much simpler for choosing the parameters. The recursive implementation and more number of tuning parameters makes the H1 a better choice. We also propose the adaptive technique for H1 filtering based delay compensation, which reduces the steady state noise significantly. The results were simulated for real time sensor data during reactor trip from full power and show that the SPND with adaptive delay compensation can become a good alternative with respect to better SNR as compared to the prompt SPNDs.