An optimal design of square spiral integrated inductor using metaheuristic techniques

In this paper, the optimal sizing of CMOS RF square spiral integrated inductor utilizing three meta-heuristic techniques namely Ant Colony Optimization, Artificial Bee Colony and Differential Evolution is presented. The π-model is employed for the characterization of inductor behavior. In this optimization procedure, the geometrical parameters of the CMOS RF square spiral integrated inductor are considered as the design variables that satisfy the most important constraints such as the fixed value of required inductance 4nH at the operating frequency 2.4 GHz. The design of the integrated square spiral inductor is done with UMC 130 nm CMOS technology. A comparison between the used meta-heuristic techniques is emphasized. The optimization results are checked and validated by the mean of the Momentum advanced design system (ADS).

[1]  J.C. Guo,et al.  A broadband and scalable on-chip inductor model appropriate for operation modes of varying substrate resistivities , 2006, IEEE Radio Frequency Integrated Circuits (RFIC) Symposium, 2006.

[2]  O. Bouattane,et al.  GA AND ACO TECHNIQUES FOR THE ANALOG CIRCUITS DESIGN OPTIMIZATION , 2014 .

[3]  R. Storn,et al.  Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .

[4]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Mourad Loulou,et al.  Analog circuit design optimization through the particle swarm optimization technique , 2010 .

[6]  Kanendra Naidu,et al.  Review on population-based metaheuristic search techniques for optimal power flow , 2019, Indonesian Journal of Electrical Engineering and Computer Science.

[7]  M. Helena Fino,et al.  PSO-Based Design of RF Integrated Inductor , 2012, DoCEIS.

[8]  T.H. Lee,et al.  A physical model for planar spiral inductors on silicon , 1996, International Electron Devices Meeting. Technical Digest.

[9]  Bachir Benhala,et al.  Focus on Swarm Intelligence Research and Applications , 2017 .

[10]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[11]  Bachir Benhala,et al.  Swarm Intelligence Optimization Techniques for an Optimal RF Integrated Spiral Inductor Design , 2018, 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS).

[12]  Bachir Benhala,et al.  A Genetic algorithm for the optimal design of a multistage amplifier , 2020, International Journal of Electrical and Computer Engineering (IJECE).

[13]  Marin Hristov,et al.  Parameter extraction of geometry dependent RF planar inductor model , 2010, Proceedings of the 17th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES 2010.

[14]  Bachir Benhala,et al.  An Optimal Design of a Short-Channel RF Low Noise Amplifier Using a Swarm Intelligence Technique , 2020, Embedded Systems and Artificial Intelligence.

[15]  B. Benhala An Improved ACO Algorithm for the Analog Circuits Design Optimization , 2016 .

[16]  Nan Jiang,et al.  Frequency-Independent Asymmetric Double-$pi $Equivalent Circuit for On-Chip Spiral Inductors: Physics-Based Modeling and Parameter Extraction , 2006, IEEE Journal of Solid-State Circuits.

[17]  E.-S.A.M. Hasaneen Compact Circuit Simulation Model for On-Chip Inductor and Transformer for RF Integrated Circuits , 2007, 2007 2nd International Design and Test Workshop.

[18]  H.S. Bennett,et al.  Device and technology evolution for Si-based RF integrated circuits , 2005, IEEE Transactions on Electron Devices.

[19]  Elissaveta Gadjeva,et al.  Analysis, Model Parameter Extraction and Optimization of Planar Inductors Using MATLAB , 2010 .

[20]  M. Fakhfakh,et al.  A Comparative Study between ACO and DE Techniques by Numerical Functions Optimization , 2019, 2019 5th International Conference on Optimization and Applications (ICOA).

[21]  Shyh-Jong Chung,et al.  Accurate Systematic Model-Parameter Extraction for On-Chip Spiral Inductors , 2008, IEEE Transactions on Electron Devices.

[22]  Bachir Benhala,et al.  Analysis of the impact of metal thickness and geometric parameters on the quality factor-Q in integrated spiral inductors by means of artificial bee colony technique , 2019, International Journal of Electrical and Computer Engineering (IJECE).

[23]  Hidetoshi Onodera,et al.  Modelling and optimization of on-chip spiral inductor in S-parameter domain , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[24]  V. Sumalatha,et al.  Ant colony optimization based energy efficiency for improving opportunistic routing in multimedia wireless mesh network , 2019 .

[25]  Rung Ching Chen,et al.  An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks , 2013, International Journal of Machine Learning and Cybernetics.

[26]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .