PSO-based evolutionary optimization for black-box modeling of arbitrary shaped on-chip RF inductors

Abstract

In the present work a particle swarm optimization (PSO) based off-line system identification algorithm has been proposed for modeling of RF on-chip inductors. The proposed scheme has a distinctive feature that the determination of the system structure and the identification of parameters can be simultaneously obtained. The system identification algorithm used here is based upon a black-box modeling approach. Unlike the conventional equivalent circuit models, in the proposed modeling a priori information of the physical structure of an inductor is not required. Consequently this generic algorithm is capable of modeling any arbitrary shaped inductor more accurately than the conventional equivalent circuit models.

Position Mutated Hierarchical Particle Swarm Optimization and its Application in Synthesis of Unequally Spaced Antenna Arrays

“…For such an array, the SLL minimization problem can be solved by minimizing the following cost function (9) where AF is defined in (7). In order to introduce constraints over FNBW and null locations, we use the penalty method [19] and modify (9) as (10) where and are large numbers required to impose penalty and are arbitrarily taken as and respectively. is the calculated FNBW and is the desired FNBW.…”

“…BW is the allowed tolerance of FNBW. In (10), is the null depth associated with the th null located at and is the desired null depth [19]. It is evident from (10) that CF is equal to for all those array geometries that satisfy the constraints on FNBW and null locations.…”

“…We employ PSO to search for the optimal which minimizes the CF defined in (10). For comparison, we use the same simulation setup for PSO as used in [14] and [19].…”

“…PSO has received a lot of attention due to its simplicity of implementation and its capability of escaping from the traps of local optima [3], [4]. Apart from many other applications like design of ultra-wideband (UWB) antennas [5], multi-band antennas [6]- [8], artificial magnetic conductors [9], modeling of passive components [10]- [12] etc., Manuscript PSO has been most extensively utilized in different types of antenna array design problems [3], [4], [13]- [23].…”

Layer-to-Layer Height Control for Laser Metal Deposition Process

“…In the particle swarm algorithm, the trajectory of each particle (i,e,, candidate solution to the optimization problem) in the search space is adjusted according to its own experience and the experience of the other particles in the swarm. It has been successfully applied in many different areas such as tieural network training [14], system modeling [15], and engineering design [16]. In this paper, it is applied to estimate LMD model parameters based on measured height and temperature profiles.…”