DSP Implementation of an Active Bearing Mount for Rotors Using Hybrid Control

2000 ◽  
Vol 122 (4) ◽  
pp. 420-428 ◽  
Author(s):  
Mingsian R. Bai ◽  
Weibin Luo
Keyword(s):  
Digital Signal Processor ◽  
Hybrid Control ◽  
Digital Signal ◽  
Hybrid Structure ◽  
Experimental Investigations ◽  
Least Mean Square ◽  
Linear Quadratic ◽  
Electromagnetic Actuators ◽  
Multiple Channel ◽  
Periodic Disturbances

An on-line active technique for suppressing rotor vibration is proposed. Electromagnetic actuators are mounted on the housing of a ball bearing for generating counter forces to cancel the transverse vibrations due to imbalance, misalignment, and so forth. Controllers based on feedback structure, feedforward structure and hybrid structure are investigated. The multiple channel active control systems are implemented on the platform of a digital signal processor. Numerical simulation and experimental investigations indicate that the proposed methods are effective in suppressing the periodic disturbances. In particular, the hybrid control by using feedback linear quadratic gaussian control and feedforward least mean square algorithm with synthetic reference achieves the best performance in terms of vibration attenuation and convergence speed. [S0739-3717(00)00904-1]

scholarly journals Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission

2019 ◽  
Vol 9 (20) ◽  
pp. 4332 ◽  
Author(s):  
Stenio M. Ranzini ◽  
Francesco Da Ros ◽  
Henning Bülow ◽  
Darko Zibar
Keyword(s):  
Machine Learning ◽  
Digital Signal Processor ◽  
Forward Error Correction ◽  
Dispersion Compensation ◽  
Chromatic Dispersion ◽  
Digital Signal ◽  
Single Mode ◽  
Hybrid Structure ◽  
Optical Module ◽  
Hybrid Module

In this paper, a machine learning-based tunable optical-digital signal processor is demonstrated for a short-reach optical communication system. The effect of fiber chromatic dispersion after square-law detection is mitigated using a hybrid structure, which shares the complexity between the optical and the digital domain. The optical part mitigates the chromatic dispersion by slicing the signal into small sub-bands and delaying them accordingly, before regrouping the signal again. The optimal delay is calculated in each scenario to minimize the bit error rate. The digital part is a nonlinear equalizer based on a neural network. The results are analyzed in terms of signal-to-noise penalty at the KP4 forward error correction threshold. The penalty is calculated with respect to a back-to-back transmission without equalization. Considering 32 GBd transmission and 0 dB penalty, the proposed hybrid solution shows chromatic dispersion mitigation up to 200 ps/nm (12 km of equivalent standard single-mode fiber length) for stage 1 of the hybrid module and roughly double for the second stage. A simplified version of the optical module is demonstrated with an approximated 1.5 dB penalty compared to the complete two-stage hybrid module. Chromatic dispersion tolerance for a fixed optical structure and a simpler configuration of the nonlinear equalizer is also investigated.

Convergence analysis of Bessel beamformer and its comparison with LMS in adaptive array system

2015 ◽  
Vol 34 (3) ◽  
pp. 952-961 ◽  
Author(s):  
M. Yasin ◽  
Pervez Akhtar
Keyword(s):  
Theoretical Model ◽  
Convergence Analysis ◽  
Digital Signal Processor ◽  
Wiener Filter ◽  
Digital Signal ◽  
Lms Algorithm ◽  
Mean Square ◽  
Least Mean Square ◽  
Content Type ◽  
Convergence Performance

Purpose – The purpose of this paper is to analyze the convergence performance of Bessel beamformer, based on the design steps of least mean square (LMS) algorithm, can be named as Bessel LMS (BLMS) algorithm. Its performance is compared in adaptive environment with LMS in terms of two important performance parameters, namely; convergence and mean square error. The proposed BLMS algorithm is implemented on digital signal processor along with antenna array to make it smart in wireless sensor networks. Design/methodology/approach – Convergence analysis is theoretically developed and verified through MatLab Software. Findings – Theoretical model is verified through simulation and its results are shown in the provided table. Originality/value – The theoretical model can obtain validation from well-known result of Wiener filter theory through principle of orthogonality.

Active Noise Cancellation for a Three-Dimensional Enclosure by Using Multiple-Channel Adaptive Control and H∞ Control

1998 ◽  
Vol 120 (4) ◽  
pp. 958-964 ◽  
Author(s):  
M. R. Bai ◽  
Z. Lin
Keyword(s):  
Digital Signal Processor ◽  
Random Noise ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Internal Field ◽  
Least Mean Square ◽  
Control Structures ◽  
Multiple Channel ◽  
Active Noise ◽  
Fxlms Algorithm

Active noise control (ANC) techniques for a three-dimensional enclosure are compared in terms of two control structures and two control algorithms. The multiple-channel filtered-x least-mean-square (FXLMS) algorithm and the H∞ robust control algorithm are employed for controller synthesis. Both feedforward and feedback control structures are compared. The Youla’s parameterization is employed in the formulation of the multiple-channel feedback FXLMS algorithm. The algorithms are implemented using a floating-point digital signal processor (DSP). Experiments are carried out to validate the ANC approaches for attenuation of the internal field in a rectangular wooden box. Position and number of actuators and sensors are also investigated. A broadband random noise and an engine noise are chosen as the primary noises in the experiments. The experimental results indicate that the feedforward structure yields a broader band of attenuation than the feedback structure. The FXLMS control and H∞, control achieve comparable performance.

Design and Implementation of Electromagnetic Active Control Actuators

2003 ◽  
Vol 9 (8) ◽  
pp. 997-1017 ◽  
Author(s):  
Mingsian R. Bai ◽  
Kwuen-Yieng Ou
Keyword(s):  
Active Control ◽  
Digital Signal Processor ◽  
System Integration ◽  
Design Procedure ◽  
Voice Coil Motor ◽  
Digital Signal ◽  
System Response ◽  
Multiple Channel ◽  
Domain Identification ◽  
The Time Domain

We present the modeling, parameter identification and design procedure of a linear voice-coil motor. A numerical simulation has been carried out to facilitate system integration. In particular, we use electromechanical analogy and the time-domain identification procedure with the eigensystem realization algorithm to predict the system response. In order to evaluate the performance of the voice-coil motor, we conducted an experimental investigation. Voice-coil motors mounted on a ball bearing housing are used for generating counter forces to cancel the transverse vibrations of a shaft. A controller is designed by using generalized predictive control. Multiple channel active control systems are implemented on the platform of a digital signal processor. Numerical and experimental results indicated that the designed actuators were effective in suppressing the periodic disturbances in rotors.

DSP Based Implementation of Hybrid Fuzzy PI Speed Controller for Direct Torque Controlled Permanent Magnet Synchronous Motor Drive

2007 ◽  
Vol 8 (2) ◽  
Author(s):  
Bhim Singh ◽  
B. P. Singh ◽  
Sanjeet Dwivedi
Keyword(s):  
Permanent Magnet ◽  
Digital Signal Processor ◽  
Fuzzy Logic Controller ◽  
Hybrid Control ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Synchronous Motor ◽  
Drive System ◽  
Fuzzy Membership Function ◽  
Speed Controller

This paper presents a Digital Signal Processor (DSP) based implementation of Hybrid of Fuzzy Logic Controller (FLC) and Proportional-Integral (PI) speed controller for Direct Torque Controlled (DTC) Permanent Magnet Synchronous Motor (PMSM) drive. The fuzzy membership function is used for hybrid control of these two FLC and PI speed controllers in such a way that at the time of dynamic conditions such as starting, the degree of belonging for FLC speed controller is higher than the PI speed controller and near set point the degree of belonging of PI controller is having higher weightage. The simulation model of the drive system is developed in MATLAB environment with simulink, PSB and FLC toolboxes to analyze the performance of the PMSM drive system. This hybrid speed controller is found suitable for DTC based PMSM drive to maintain the high level of performance while maintaining the excellent response at the time of starting, speed reversal, load perturbation and steady-state operating condition of the drive.

scholarly journals Design and Analysis of CMOS Full Adder

2021 ◽  
pp. 99-103
Author(s):  
Saurabh J Shewale ◽  
Sonal A Shirsath
Keyword(s):  
Low Power ◽  
Digital Signal Processor ◽  
High Performance ◽  
Critical Path ◽  
Digital Signal ◽  
Full Adder ◽  
Hybrid Structure ◽  
Computing Systems ◽  
Area Efficiency ◽  
Performance Computing

This paper presents a comparative study of Complementary MOSFET (CMOS) full adder circuits. Our approach is based on hybrid design full adder circuits combined in a single unit. Full adder circuit is an essential component for designing of various digital systems. It is used for different applications such as Digital signal processor, microcontroller, microprocessor and data processing units (DSP). In most of these systems the adder lies in the critical path that determines the overall speed of the system. Full adder is mainly used in VLSI devices like microprocessor for computational purposes. The proposed full adder cell has low power consumption, better area efficiency. Recently, there have been massive research interests in this area due to the growing need for low-power and high-performance computing systems. Our aim is to design and compare the full adder circuit in various technologies and compare their power capacity. By using the hybrid structure of NMOS and PMOS, we have implemented the circuit of full adder.

Implementation of the Hartley-Transform-Based Block LMS Algorithm

1993 ◽  
Author(s):  
Tokunbo Ogunfunmi
Keyword(s):  
Digital Signal Processor ◽  
Adaptive Algorithm ◽  
Interference Cancellation ◽  
Digital Signal ◽  
Cost Effective ◽  
Lms Algorithm ◽  
Transform Domain ◽  
Least Mean Square ◽  
Hartley Transform ◽  
The Time Domain

Abstract This paper presents a cost-effective The Frequency-domain Least-Mean-Square (FLMS) adaptive algorithm (or more generally the Transform-domain LMS adaptive algorithm) [12], [13] has mainly two advantages over the conventional LMS algorithm [19]. The first is that it overcomes the slow convergence of the LMS algorithm by orthogonalizing the input (thereby performing better than the LMS for correlated input signals) and the second advantage is that it can be used for implementing the time-domain Block LMS (BLMS) algorithms as well [18]. The Hartley transform is a newly introduced real-to-real transform that is a suitable replacement for the complex Fourier transform [1] and [2] in several adaptive filtering applications such as adaptive interference cancellation that has wide applicability to problems in telecommunications, biomedical engineering, etc. The realization of the Transform-domain BLMS adaptive algorithm based on the Discrete Hartley Transforms (DHT) and its implementation on the TMS320C30 digital signal processor chip is described.

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