An energy-based heuristic operator method for resonant power circuit estimation predicting parameter sensitivity

An approach to power circuit estimation on the base of simple energy-based heuristics was derived by analysing the mathematical principles of resonant power systems intuitively. Practical illustration of the use of this approach is demonstrated for power electronics application design especially of class-E and half-bridge topologies. Experiments indicate that optimisation with intelligent restrictions allows to avoid huge computational expense, and provide prediction of areas with both, high parameter sensitivity, and low parameter sensitivity. The energy-based heuristic approach was proved by logical consistence of topological construction principles, as well as by a remarkable number of load-resonant topologies confirming the theory. To confirm this method to be mathematically applicable, the exact calculation of the used energy-based operators of the heuristic method provided improved agreement between exact system solutions at ideal ZVS/ZCS conditions of the considered power converters, and their solutions of the approach within parameter-insensitive operation areas. The provided solution understands optimization first of all as a sensitivity analysis to identify the robust areas of system operation in terms of parameter deviation influence before operating areas are set.

[1]  Rob A. Rutenbar,et al.  ASF: a practical simulation-based methodology for the synthesis of custom analog circuits , 2001, IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281).

[2]  W. Smith,et al.  Element sensitivity and energy storage of a passive impedance , 1971 .

[3]  Georges G. E. Gielen,et al.  Efficient analog circuit synthesis with simultaneous yield and robustness optimization , 1998, 1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287).

[4]  Rob A. Rutenbar,et al.  Synthesis of high-performance analog circuits in ASTRX/OBLX , 1996, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[5]  Rob A. Rutenbar,et al.  Anaconda: simulation-based synthesis of analog circuits viastochastic pattern search , 2000, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[6]  Wolf-Joachim Fischer,et al.  Smart universal control IC for high loaded factor resonant converters , 2010, IEEE Custom Integrated Circuits Conference 2010.

[7]  Kurt Antreich,et al.  Circuit analysis and optimization driven by worst-case distances , 1994, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[8]  Rob A. Rutenbar,et al.  Computer-aided design of analog and mixed-signal integrated circuits , 2000, Proceedings of the IEEE.

[9]  J. J. Ribarich,et al.  A new control method for dimmable high-frequency electronic ballasts , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[10]  M. A. Styblinski,et al.  Yield and variability optimization of integrated circuits , 1995 .

[11]  Georges Gielen,et al.  Analog Circuit Design Optimization based on Symbolic Simulation and Simulated Annealing , 1989 .

[12]  Rob A. Rutenbar,et al.  Synthesis of manufacturable analog circuits , 1994, ICCAD '94.