Title :
Dynamic analysis of power delivery network with nonlinear components using matrix exponential method
Author :
Hao Zhuang ; Ilgweon Kang ; Xinan Wang ; Jeng-Hau Lin ; Chung-kuan Cheng
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
In this work, we propose a matrix exponential-based time-integration algorithm for dynamic analysis of power delivery network (PDN) with nonlinear components. The presented method is an explicit method and is very competitive for applications compared to traditional low order approximation methods, such as backward Euler method with Newton-Raphson iterations (BE). The proposed method takes comparable number of time steps to complete the whole simulation. Second, the method takes only one LU decomposition per time step while BE requires at least two LU decompositions for the convergence check of solutions of nonlnear system. Moreover, our method does not need to repeat expensive LU decomposition operations when the length of time steps are adjusted for error controls. The experimental results validate our method´s efficiency. We observe the reductions of total LU operation number and the simulation runtime.
Keywords :
Newton-Raphson method; approximation theory; convergence; nonlinear network analysis; LU decomposition; Newton-Raphson iteration; PDN; approximation method; backward Euler method; convergence check; dynamic analysis; lower upper decomposition; matrix exponential-based time integration algorithm; nonlinear component; power delivery network; Approximation methods; Capacitance; Computational modeling; Handheld computers; Integrated circuit modeling; Matrix decomposition; Time-domain analysis; Krylov subspace; Power delivery network; circuit simulation; matrix exponential method;
Conference_Titel :
Electromagnetic Compatibility and Signal Integrity, 2015 IEEE Symposium on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-1-4799-1992-5
DOI :
10.1109/EMCSI.2015.7107694