Automated Sizing Methodology for CMOS Miller Operational Transconductance Amplifier

Prajapati, Pankaj P.; Shah, Mihir V.

doi:10.1007/978-981-10-5699-4_29

Cited by 3 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In both open and closed loop electrical circuits, CMOS OTA has emerged as a crucial component [13]. Operational Transparency According to their input and output, amplifiers are categorized into four groups [14]. The OTA with a single input and a single output, OTA with a differential input, and OTA with a balanced input and differential output [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Performance parameters optimization of CMOS analog signal processing circuits based on smart algorithms

Rasheed

Motlak

2023

Bulletin EEI

View full text Add to dashboard Cite

Designing ideal analogue circuits has become difficult due to extremely large-scale integration. The complementary metal oxide semiconductor (CMOS) analog integrated circuits (IC) could use an evolutionary method to figure out the size of each device. The CMOS operational transconductance amplifier (CMOS OTA) and the CMOS current conveyor second generation (CMOS CCII) are designed using advanced nanometer transistor technology (180 nm). Both CMOS OTA and CMOS CCII have high performance, such as a wide frequency, voltage gain, slew rate, and phase margin, to include very wide applications in signal processing, such as active filters and oscillators. The optimization approach is an iterative procedure that uses an optimization algorithm to change design variables until the optimal solution is identified. In this study, different sorts of algorithms the genetic algorithm (GA), particle swarm optimization (PSO), and cuckoo search (CS) are employed to boost and enhance the performance parameters. While decreasing the time required to develop a conventional operation amplifier's settling time. Some studies decrease the value of the power utilized at various frequencies. Others operate at extremely high frequencies, but their power consumption is greater than that of those operating at lower frequencies.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance parameters optimization of CMOS analog signal processing circuits based on smart algorithms

Rasheed

Motlak

2023

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…DE algorithm has been used to optimize various analog circuits like CMOS voltage divider, CMOS common source amplifier, CMOS three stage current starved voltage controlled oscillator and CMOS differential amplifier with current mirror load using 0.18 µm CMOS technology [12]. PSO based methodology has been tested to size rail to rail CMOS Miller OTA using 0.35 µm and 0.18 µm standard CMOS technology parameters [13]. The performance of the modified PSO algorithm with standard PSO and ABC algorithms had been presented in [14] by optimizing bulk driven OTA and two-stage CMOS op-amp using 130 nm CMOS technology.…”

Section: Introductionmentioning

confidence: 99%

Optimization of CMOS Miller OTA using Differential Evolutionary Algorithm

Prajapati

Acharya

Shah

2019

ijisae

View full text Add to dashboard Cite

The circuit parameters of CMOS based analog and mixed-signal circuits conventionally are achieved by skilled engineers. Due to the progress of Moore's assumption and the growing complication of physical MOSFET models, the attention towards automation of CMOS based analog circuit design is increased. The issue of the automatic design of analog circuit has been tracked in the academy and industry since more than last two decades. In this paper, application of differential evolution (DE) algorithm is presented for the optimization of CMOS Miller Operational Transconductance Amplifier (OTA). DE algorithm has been developed using C language to optimize the CMOS Miller OTA. The error function of optimization for this circuit depends on desired specifications like voltage gain, phase margin (PM), unit gain bandwidth (UGB), power consumption, common mode rejection ratio (CMRR), slew rate (SR), power supply rejection ratio (PSRR), and a total MOS transistor area. Ngspice circuit simulator has been used as an error function creator and evaluator. BSIM3v3 MOSFET models with 0.18 µm and 0.35 µm CMOS technology have been used to simulate this circuit. The simulation results of this work are presented and compared with previous works reported in the literature.

show abstract

Automatic Circuit Design of CMOS Miller OTA Using Cuckoo Search Algorithm

Prajapati

Shah

2020

International Journal of Applied Metaheuristic Computing

Self Cite

View full text Add to dashboard Cite

The circuit design of the CMOS based analog part of a mixed-signal integrated circuit (IC) needs a large fraction of the overall design cycle time. The automatic design of an analog circuit is inevitable, seeing recently development of System-on-Chip (SOC) design. This brings about the need to develop computer aided design (CAD) tools for automatic design of CMOS based analog circuits. In this article, a Cuckoo Search (CS) algorithm is presented for automatic design of a CMOS Miller Operational Transconductance Amplifier (OTA). The source code of the CS algorithm is developed using the C language. The Ngspice circuit simulator has been used as a fitness function creator and evaluator. A script file is written to provide an interface between the CS algorithm and the Ngspice simulator. BSIM3v3 MOSFET models with 0.18 µm and 0.35 µm CMOS technology have been used to simulate this circuit. The simulation results of this work are presented and compared with previous works reported in the literature. The experimental simulation results obtained by the CS algorithm satisfy all desired specifications for this circuit.

show abstract

Automated Sizing Methodology for CMOS Miller Operational Transconductance Amplifier

Cited by 3 publications

References 7 publications

Performance parameters optimization of CMOS analog signal processing circuits based on smart algorithms

Performance parameters optimization of CMOS analog signal processing circuits based on smart algorithms

Optimization of CMOS Miller OTA using Differential Evolutionary Algorithm

Automatic Circuit Design of CMOS Miller OTA Using Cuckoo Search Algorithm

Contact Info

Product

Resources

About