A sensorless angular displacement measurement method for rotational oscillation generation in biomedical applications with Ros-Drill©

2020 ◽  
pp. 014233122094022
Author(s):  
Handan Nak ◽  
Ali Fuat Ergenc
Keyword(s):  
Digital Signal Processor ◽  
Measurement Method ◽  
Angular Displacement ◽  
Digital Signal ◽  
Brushless Dc ◽  
Rotational Oscillation ◽  
Brushless Motor ◽  
Measurement Methodology ◽  
Angular Displacements ◽  
Micro Drill

This paper presents a novel measurement method for angular displacement of an oscillation-assisted micro drill device, Ros-Drill©. The device is driven with a brushless dc motor (BLDC) which is desired to track a sinusoidal position reference. The measurement method is based on the principle of monitoring the back-emf voltage that is induced on the non-fed winding of the brushless motor. It offers sensorless analog measurement of the angular displacement of the oscillatory motion which is not possible with optical encoders. The measurement methodology and control algorithms are implemented utilizing a digital signal processor. Experiments reveal that the method is feasible for measuring angular displacements of rotational oscillations during cellular piercing operations. Furthermore, it presents fair performance for frequencies up to 1000 Hz and provides early diagnosis for a potential malfunction of the micro drill.

Design and Implementation of Fuzzy PID Controller for Brushless DC Motor Control System

2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen
Keyword(s):  
Control System ◽  
Digital Signal Processor ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Digital Signal ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Brushless Dc ◽  
Fuzzy Pid Controller

This paper presents a robust fuzzy proportional-integral-derivative (PID) controller for brushless DC motor (BLDCM) control system. The hardware circuit of the BLDCM control system is designed and implemented using a digital signal processor (DSP) TMS320LF2407A and a monolithic BLDCM controller MC33035 as the core. Furthermore, a fuzzy PID controller, which combines the advantages of good robustness of fuzzy controller and high precision of conventional PID controller, is employed in the hardware system, thereby yielding a digital, intelligent BLDCM control system. Experimental results have shown that the control system can run steadily and control accurately, and have convincingly demonstrated the usefulness of the proposed fuzzy PID controller in BLDCM control system.

Back-EMF Position Detection Technology for Brushless DC Motor

2014 ◽  
Vol 492 ◽  
pp. 49-55
Author(s):  
Hong Xing Wu ◽  
Zhi Yuang Qi ◽  
Ji Gui Zheng ◽  
Shou Ming Zhou
Keyword(s):  
Digital Signal Processor ◽  
Digital Signal ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Position Sensor ◽  
Brushless Dc ◽  
Starting Position ◽  
Position Detection ◽  
Detection Technology ◽  
Sensor Control

Without position sensor control technology of brushless DC motor has become the focus of many experts and scholars at home and abroad. The article presented research of without speed and position sensor control for brushless DC motor, including brushless DC motor mathematical model, Back-EMF detection principle and starting position detection method, and designed a hardware control system based dedicated digital signal processor (DSP). For experimental study of the system based experimental prototype had shown: this method can achieve no load starting, load starting and load operation of without position sensor brushless DC motor.

Sliding Mode Control for BLDC Electromechanical Actuator Based on DSP

2013 ◽  
Vol 392 ◽  
pp. 299-305
Author(s):  
Jun Zhou ◽  
Peng Li ◽  
Feng Qi Zhou ◽  
Zhi Gang Gao
Keyword(s):  
Sliding Mode Control ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Digital Signal ◽  
Mathematic Model ◽  
Electromechanical Actuator ◽  
Brushless Dc ◽  
Mode Control ◽  
Simulation And Experiment ◽  
Plant Parameter

This paper deals with the design, simulation and implementation of a digital sliding mode controller for brushless DC motor-based electromechanical actuator. Firstly, a mathematic model of the actuator is drawn from its structure. Secondly, sliding mode control algorithm with the approach to weaken chattering is designed for the system, and simulations are carried out under Matlab/Simulink environment. Thirdly, the SMC algorithm is implemented on TMS320F2812 digital signal processor platform along with extensive experiments. Lastly, results of simulation and experiment are compared and discussed, showing that the proposed approach can achieve accurate and fast position tracking in the presence of load disturbance and plant parameter variations.

Design of BLDCM Control System with Fuzzy Adaptive Controller

2013 ◽  
Vol 765-767 ◽  
pp. 1791-1795 ◽  
Author(s):  
Zheng Zhong Li ◽  
Li Xia Guo ◽  
Guo Fang Gao
Keyword(s):  
Control System ◽  
Pid Control ◽  
Digital Signal Processor ◽  
High Performance ◽  
Digital Signal ◽  
Adaptive Controller ◽  
Dc Motor ◽  
System Structure ◽  
Brushless Dc Motor ◽  
Brushless Dc

To handle the shortages of conventional PID control, recur to the high-performance digital signal processor, combine the fuzzy self-adaption controller with brushless dc motor control system. The results show the control system structure is simplified and the performances of control system are improved comparing to the conventional PID control, the performance index is better than that in conventional PID control system, so the stability of brushless dc motor operation is strengthened.

Design of the Angular Displacement Sensor Based on Magnetoresistive Technology

2013 ◽  
Vol 397-400 ◽  
pp. 1633-1637
Author(s):  
Yun Lou ◽  
Xiang Yang Zhao
Keyword(s):  
Digital Signal Processor ◽  
Output Signal ◽  
Angular Displacement ◽  
Digital Signal ◽  
Displacement Sensor ◽  
Single Chip ◽  
Converter Unit ◽  
Signal Processor

The design of the angular displacement sensor based on magnetoresistive technology uses DSPIC30F3010 digital signal processor for computing. Having been amplified, magnetoresistive element output signal enters into the single-chip microprocessor A/D converter unit to operate together with the Hall components output signal operation processing, and ultimately generates the actual angular displacement values.

scholarly journals Design and Implementation of Torque Control and Estimation for an Electric Hand-Tool

2020 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Tian-Hua Liu ◽  
Cheng-Wei Peng
Keyword(s):  
Digital Signal Processor ◽  
Low Cost ◽  
Digital Signal ◽  
Torque Control ◽  
Current Loop ◽  
Loop Control ◽  
Brushless Dc ◽  
Estimation Algorithms ◽  
Design And Implementation ◽  
Hand Tool

<p>This paper proposes the design and implementation of torque control and torque estimation for an electric hand-tool. This hand-tool does not require any torque transducer or any Hall-effect sensor. Only some low-cost resistances are used to measure the stator currents of a brushless DC motor, which is used to drive the hand-tool. Novel 3-phase current commands are proposed here to obtain greater torque than traditional 3-phase, square-wave current commands. The output torque of the hand-tool can be estimated and displayed by an LED display. A PI controller is used to achieve the current-loop control. A digital signal processor, TMS-320-F2808 that was manufactured by Texas Instruments, is used to execute the control and estimation algorithms. Experimental results show the correctness and feasibility of the proposed methods.</p>

Digital signal processor based high speed current control of brushless motor

1986 ◽  
Vol 106 (6) ◽  
pp. 42-49 ◽  
Author(s):  
Takaharu Takeshita ◽  
Kohji Kameda ◽  
Hironori Ohashi ◽  
Nobuyuki Matsui
Keyword(s):  
Digital Signal Processor ◽  
High Speed ◽  
Digital Signal ◽  
Current Control ◽  
Brushless Motor ◽  
Signal Processor

Yield Enhancement Study: Process Variation and Design Margins Leading to Timing Issues in the RAM

2000 ◽  
Author(s):  
Srikanth Perungulam ◽  
Scott Wills ◽  
Greg Mekras
Keyword(s):  
Cross Sections ◽  
Digital Signal Processor ◽  
Focused Ion Beam ◽  
Ion Beam ◽  
Random Access ◽  
Digital Signal ◽  
Yield Enhancement ◽  
Final Conclusion ◽  
Stage Separation ◽  
Study Process

Abstract This paper illustrates a yield enhancement effort on a Digital Signal Processor (DSP) where random columns in the Static Random Access Memory (SRAM) were found to be failing. In this SRAM circuit, sense amps are designed with a two-stage separation and latch sequence. In the failing devices the bit line and bit_bar line were not separated far enough in voltage before latching got triggered. The design team determined that the sense amp was being turned on too quickly. The final conclusion was that a marginal sense amp design, combined with process deviations, would result in this type of failure. The possible process issues were narrowed to variations of via resistances on the bit and bit_bar lines. Scanning Electron Microscope (SEM) inspection of the the Focused Ion Beam (FIB) cross sections followed by Transmission Electron Microscopy (TEM) showed the presence of contaminants at the bottom of the vias causing resistance variations.

Control of processing at multi-tool two-support setup

2020 ◽  
pp. 67-73
Author(s):  
N.D. YUsubov ◽  
G.M. Abbasova
Keyword(s):  
Degrees Of Freedom ◽  
Factor Model ◽  
Angular Displacement ◽  
Factor Models ◽  
Technological System ◽  
Displacement Control ◽  
Model Accuracy ◽  
Six Degrees Of Freedom ◽  
Angular Displacements ◽  
And Control

The accuracy of two-tool machining on automatic lathes is analyzed. Full-factor models of distortions and scattering fields of the performed dimensions, taking into account the flexibility of the technological system on six degrees of freedom, i. e. angular displacements in the technological system, were used in the research. Possibilities of design and control of two-tool adjustment are considered. Keywords turning processing, cutting mode, two-tool setup, full-factor model, accuracy, angular displacement, control, calculation [email protected]

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