A Power-Saving Adaptive Equalizer With a Digital-Controlled Self-Slope Detection

Tu, Yo-Hao; Cheng, Kuo-Hsing; Lee, Man-Ju; Liu, Jen-Chieh

doi:10.1109/tcsi.2017.2781302

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…By and by, this technique makes them hang downsides in light of these disadvantages flying wheel is mounted on a motor shaft in non-reversible drives (Khodayari and Aslani, 2018; Park et al, 2008). Additionally, if the transient time of the drive is expanded, a flywheel cannot be mounted on the motor shaft in factor speed and reversible drive (Diao et al, 2018a; Tu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: An efficient grasshopper optimization with recurrent neural network controller-based induction motor to replace flywheel of the process machine

V.M.Jape

Suryawanshi

Modak³

2020

Transactions of the Institute of Measurement and Control

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This paper proposes a convenient power electronic circuitry with a control approach for the flywheel replacement of an induction motor. The proposed control approach is the joined execution of grasshopper optimization algorithm and recurrent neural network based on duty ratio controller and hence the proposed work is named grasshopper optimization with recurrent neural network. The main contribution of this work is, the power electronic circuitry gets the input voltage samples and limits the deviation to appraise the instantaneous torque demand. The required voltage for the instantaneous torque demand is produced by the proposed control technique. In the proposed grasshopper optimization with recurrent neural network technique, the grasshopper optimization algorithm is a meta-heuristic population-based algorithm, which works from the perspective of the swarming behavior of grasshoppers in nature. In the proposed system, the recurrent neural network learning procedure is improved by the grasshopper optimization algorithm in the perspective of the minimum error objective function. the proposed grasshopper optimization with recurrent neural network technique optimizes the inverter switching states by limiting the error between the setpoint torque and the demand torque regarding objective function. With this proposed technique, the unbalance between demand torque and generated torque is found with high precision and the quicker execution to pull back out the torsional pulsation insensitive load linked transmission systems. By utilizing the proposed methodology, the extreme fluctuation of load torque due to peaky loads in an induction motor will be detected accurately. Also, the proposed technique reduces the torsional vibrations, weakness in components and minimizes the outages of uninterrupted production leading to higher profits. The proposed strategy is actualized in the MATLAB/Simulink platform and evaluated their performance. The performances are appeared differently compared with the existing methods.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: An efficient grasshopper optimization with recurrent neural network controller-based induction motor to replace flywheel of the process machine

V.M.Jape

Suryawanshi

Modak³

2020

Transactions of the Institute of Measurement and Control

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“…Comparing with the adaptive CTLE with spectrum-balancing in Ref [31], our design can compensate for greater channel loss. Since the Ref [32] adopts the adaptive CTLE with self-slope detection controlled by digital, its working rate is low.…”

Section: Post-simulation Resultsmentioning

confidence: 99%

6.25-10Gb/s adaptive CTLE with spectrum balancing and loop-unrolled half-rate DFE in TSMC 0.18µm CMOS

Sun

Zhang

Yang

2022

IEICE Electron. Express

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This paper presents a wide rate range receiver including adaptive continuous time linear equalizer (CTLE) and loop-unrolled half rate decision feedback equalizer (DFE). A hybrid filter is adopted to expand the rate range of adaptive CTLE with spectrum balancing technology. The current-integrating summer is introduced to reduce the power of half-rate loop-unrolled DFE. The post-simulation is carried out by 0.18 μm CMOS TSMC technology and the results show that the rate range of adaptive CTLE can reach to 6.25-10 Gb/s. When the 10 Gb/s PRBS7 signal is transmitted through the 18-inch FR4 backplane with 15.451 dB loss at Nyquist frequency, the eye diagram is obviously open and its horizontal opening is about 0.9 UI.

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“…As a result, the demand for high-speed data transmission in modern information processing is proliferating [1,2,3,4]. To compensate for the attenuation caused by the wired channel as the frequency increases [5,6,7,8,9]， equalization is introduced here to balance the non-uniformity between high and lowfrequency components and to obtain a flat amplitude frequency response and better eye diagram [10,11,12]. However, the channel feature differs for various applications, and Nyquist bandwidth varies with different data rates, which requires adaptive equalization technology.…”

Section: Introductionmentioning

confidence: 99%

“…To relax these challenges, several new methods are proposed. Firstly, as to the adaptation for continuous time equalization (CTLE), there are self-slope [6,16], spectrum-balancing [17], eye-opening monitor [18], edge-detected based [19], data level statistics [20], SS-LMS [21,22] and other methods. The methods based on spectrum-balancing and self-slope have the advantages of fast adjustment speed and continuous adjustment but poor adaptability [23].…”

Section: Introductionmentioning

confidence: 99%

A 0.8-6Gb/s wireline receiver based on the spectrum-balancing equalizer and semi-digital dual loop CDR

Chen

Cai

Zhong

et al. 2023

IEICE Electron. Express

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In this work, a high-speed four-channel 0.8-6Gb/s wireline receiver was reported. Based on spectrum-balancing (SB) equalizer and slicer amplitude attenuator, it can be automatically adjusted to the most suitable state, avoiding the underbalanced or over-balance caused by amplitude mismatch. Moreover, a first-order semi-digital dual-loop clock and data recovery circuit (SDDCDR) with a high-speed digital loop filter (DLF) is also integrated to simplify the structure and improve the tracking ability of frequency offset. The prototype was fabricated on a 130nm CMOS process with a core area of 0.38 mm 2 for a single lane, consuming 97.3mW power at a 1.2V supply and tracking a 6966ppm frequency offset. In a 3m-cable test environment, the receiver sinusoidal jitter tolerance at high frequency is better than 0.22UI when 6Gb/s.

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A Power-Saving Adaptive Equalizer With a Digital-Controlled Self-Slope Detection

Cited by 7 publications

References 16 publications

RETRACTED: An efficient grasshopper optimization with recurrent neural network controller-based induction motor to replace flywheel of the process machine

RETRACTED: An efficient grasshopper optimization with recurrent neural network controller-based induction motor to replace flywheel of the process machine

6.25-10Gb/s adaptive CTLE with spectrum balancing and loop-unrolled half-rate DFE in TSMC 0.18µm CMOS

A 0.8-6Gb/s wireline receiver based on the spectrum-balancing equalizer and semi-digital dual loop CDR

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