scholarly journals The Time Delay Filtering Method for Cancelling Vibration on Overhead Transportation Systems Modelled as a Physical Pendulum

2007 ◽  
Vol 14 (1) ◽  
pp. 53-64 ◽  
Author(s):  
G. Peláez ◽  
J. Doval-Gandoy ◽  
N. Caparrini ◽  
J.C. García-Prada
Keyword(s):  
Time Delay ◽  
Dynamic Response ◽  
Transportation Systems ◽  
Overhead Crane ◽  
Physical Pendulum ◽  
Filtering Method ◽  
Overhead Cranes ◽  
Simple Pendulum ◽  
Pendulum Model

An investigation of the response of a physical pendulum to time delay filtered inputs was conducted. It was shown that the physical pendulum model is more accurate than the simple pendulum for modelling the dynamic response of overhead cranes with loads hanging from hooks. Based on the physical pendulum model a Specified Time Delay filter for an experimental mini overhead crane was synthesized. While somewhat limited in the scope by the hardware conditions placed in the system, the results provide basic insights into the successful application of the Time Delay Filtering method to overhead cranes.

Synthesis and Experimental Validation of a Delayed Reference Controller for Active Vibration Suppression in Mechanical Systems

2004 ◽  
Vol 72 (4) ◽  
pp. 623-627 ◽  
Author(s):  
P. Gallina ◽  
A. Trevisani
Keyword(s):  
Time Delay ◽  
Vibration Control ◽  
Experimental Validation ◽  
Vibration Suppression ◽  
Overhead Cranes ◽  
Simple Pendulum ◽  
Active Vibration Suppression ◽  
Control Scheme ◽  
Active Vibration ◽  
Two Degree Of Freedom

This paper introduces a non-time-based control scheme for active position and vibration control of two-degree-of-freedom systems by applying it to the path-tracking and swing control of a system composed of a trolley and a simple pendulum. The basic idea behind such a scheme is to make the path reference of the trolley a function of the time and of a time delay. This latter, which is affected by the measured oscillation, is calculated on-the-fly in order to reduce the swing phenomenon. The effectiveness of the proposed control scheme, which may have application to the control of overhead cranes, is proved experimentally.

scholarly journals A Comparison of Denoising Methods in Onset Determination in Medial Gastrocnemius Muscle Activations during Stance

Sci ◽  
2020 ◽  
Vol 2 (3) ◽  
pp. 53
Author(s):  
Jian Zhang ◽  
Rahul Soangra ◽  
Thurmon E. Lockhart
Keyword(s):  
Time Delay ◽  
Empirical Mode Decomposition ◽  
Gastrocnemius Muscle ◽  
Wavelet Denoising ◽  
Filtering Method ◽  
Mode Decomposition ◽  
Low Pass ◽  
Eemd Method ◽  
Muscle Activations ◽  
Stance Duration

One of the most basic pieces of information gained from dynamic electromyography is accurately defining muscle action and phase timing within the gait cycle. The human gait relies on selective timing and the intensity of appropriate muscle activations for stability, loading, and progression over the supporting foot during stance, and further to advance the limb in the swing phase. A common clinical practice is utilizing a low-pass filter to denoise integrated electromyogram (EMG) signals and to determine onset and cessation events using a predefined threshold. However, the accuracy of the defining period of significant muscle activations via EMG varies with the temporal shift involved in filtering the signals; thus, the low-pass filtering method with a fixed order and cut-off frequency will introduce a time delay depending on the frequency of the signal. In order to precisely identify muscle activation and to determine the onset and cessation times of the muscles, we have explored here onset and cessation epochs with denoised EMG signals using different filter banks: the wavelet method, empirical mode decomposition (EMD) method, and ensemble empirical mode decomposition (EEMD) method. In this study, gastrocnemius muscle onset and cessation were determined in sixteen participants within two different age groups and under two different walking conditions. Low-pass filtering of integrated EMG (iEMG) signals resulted in premature onset (28% stance duration) in younger and delayed onset (38% stance duration) in older participants, showing the time-delay problem involved in this filtering method. Comparatively, the wavelet denoising approach detected onset for normal walking events most precisely, whereas the EEMD method showed the smallest onset deviation. In addition, EEMD denoised signals could further detect pre-activation onsets during a fast walking condition. A comprehensive comparison is discussed on denoising EMG signals using EMD, EEMD, and wavelet denoising in order to accurately define an onset of muscle under different walking conditions.

Energy-Based Approach for Controller Design of Overhead Cranes: A Comparative Study

2013 ◽  
Vol 365-366 ◽  
pp. 784-787 ◽  
Author(s):  
Nguyen Quang Hoang ◽  
Soon Geul Lee
Keyword(s):  
Closed Loop ◽  
Controller Design ◽  
Asymptotically Stable ◽  
Overhead Crane ◽  
Overhead Cranes ◽  
Swing Angle ◽  
Optimal Linear ◽  
Linear And Nonlinear ◽  
Invariance Theorem ◽  
Lyapunov Technique

In this paper, five controllers including linear and nonlinear ones for an underactuated overhead crane are derived based on the passivity of the system. The total energy of the system and its square are used in Lyapunov candidate function to design controllers. The equilibrium point of the closed loop is proven to be asymptotically stable by the Lyapunov technique and LaSalle invariance theorem. In addition, the optimal linear controller is also combined to force the swing angle to converge fast to zero by reaching destination of the trolley. Numerical simulations are carried out to evaluate the controllers.

scholarly journals A Comparison of Denoising Methods in Onset Determination in Medial Gastrocnemius Muscle Activations during Stance

Sci ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 39 ◽  
Author(s):  
Jian Zhang ◽  
Rahul Soangra ◽  
Thurmon E. Lockhart
Keyword(s):  
Time Delay ◽  
Empirical Mode Decomposition ◽  
Gastrocnemius Muscle ◽  
Wavelet Denoising ◽  
Filtering Method ◽  
Mode Decomposition ◽  
Low Pass ◽  
Eemd Method ◽  
Muscle Activations ◽  
Stance Duration

One of the most basic pieces of information gained from dynamic electromyography is accurately defining muscle action and phase timing within the gait cycle. The human gait relies on selective timing and the intensity of appropriate muscle activations for stability, loading, and progression over the supporting foot during stance, and further to advance the limb in the swing phase. A common clinical practice is utilizing a low-pass filter to denoise integrated electromyogram (EMG) signals and to determine onset and cessation events using a predefined threshold. However, the accuracy of the defining period of significant muscle activations via EMG varies with the temporal shift involved in filtering the signals; thus, the low-pass filtering method with a fixed order and cut-off frequency will introduce a time delay depending on the frequency of the signal. In order to precisely identify muscle activation and to determine the onset and cessation times of the muscles, we have explored here onset and cessation epochs with denoised EMG signals using different filter banks: the wavelet method, empirical mode decomposition (EMD) method, and ensemble empirical mode decomposition (EEMD) method. In this study, gastrocnemius muscle onset and cessation were determined in sixteen participants within two different age groups and under two different walking conditions. Low-pass filtering of integrated EMG (iEMG) signals resulted in premature onset (28% stance duration) in younger and delayed onset (38% stance duration) in older participants, showing the time-delay problem involved in this filtering method. Comparatively, the wavelet denoising approach detected onset for normal walking events most precisely, whereas the EEMD method showed the smallest onset deviation. In addition, EEMD denoised signals could further detect pre-activation onsets during a fast walking condition. A comprehensive comparison is discussed on denoising EMG signals using EMD, EEMD, and wavelet denoising in order to accurately define an onset of muscle under different walking conditions.

A Novel Wave-Form Command-Shaping Control With Application on Overhead Cranes

2010 ◽  
Author(s):  
Khaled A. Alhazza ◽  
Ziyad N. Masoud
Keyword(s):  
Harmonic Oscillator ◽  
Control Strategy ◽  
Wave Form ◽  
Overhead Crane ◽  
Command Shaping ◽  
Overhead Cranes ◽  
Simple Harmonic Oscillator

In this work, a novel continuous command-shaping control strategy for a simple harmonic oscillator is proposed and implemented on an overhead crane model. A Wave-Form (WF) acceleration command profile is derived analytically, and its performance is validated numerically. To enhance the performance of the proposed command-shaping control strategy, a Modulated Wave-Form (MWF) acceleration command profile is derived. It was determined that the proposed Wave-Form and Modulated Wave-Form command profiles are capable of eliminating the travel and residual oscillations. Furthermore, unlike traditional impulse and step command-shaping, the proposed command profiles have smoother intermediate acceleration, velocity, and displacement profiles.

The Dynamics of Vortex Amplifiers. Part 1: Analytical Model

1985 ◽  
Vol 107 (3) ◽  
pp. 176-181 ◽  
Author(s):  
E. E. Kitsios ◽  
R. F. Boucher
Keyword(s):  
Time Delay ◽  
Dynamic Response ◽  
Dynamic Modeling ◽  
Rotational Inertia ◽  
Model Parameters ◽  
Static Characteristics ◽  
Time Constants ◽  
Admittance Matrix ◽  
Model Predictions ◽  
Semi Empirical

A semi-empirical technique for the dynamic modeling of vortex amplifiers is demonstrated with reference to one particular vortex amplifier geometry. The model parameters are determined explicitly from the amplifier static characteristics and geometry except for two which are estimated from measurements of the amplifier’s dynamic response. The two are time constants associated with the chamber time delay and the vortex rotational inertia. The model is linearized about a working point and is presented in terms of an admittance matrix. The paper is continued in Part 2 where two of the amplifier’s transfer admittances are measured experimentally and compared with the model predictions.

scholarly journals Perancangan Pengontrolan Overhead Crane Menggunakan Kabel dan Nirkabel Berbasis Arduino

2019 ◽  
Vol 7 (2) ◽  
pp. 76-84
Author(s):  
Ari Novriadi
Keyword(s):  
Data Communication ◽  
Control Design ◽  
Overhead Crane ◽  
Point Contacts ◽  
Push Button ◽  
Crane Control ◽  
Overhead Cranes ◽  
Usb Host ◽  
Contact Points ◽  
Heavy Equipment

Overhead Crane is a heavy equipment which is very much found in various industries, factories, and workshops that are used to transport material. In general, controlling the Overhead Crane is operated by using a Push Button that is hung together with a cable on the top frame of the Overhead Crane. in this case, humans must also be able to maintain a distance when controlling Overhead Cranes that are working to transport memterials to avoid the use of Overhead Cranes. To provide security and comfort in the use of Overhead Cranes, the authors designed an Overhead Crane controller using Arduino based cable and wireless. The design of Overhead Crane control using a cable consists of several series of Push Button arranged in a plastic box and then hung on the side of the Girder Crane. for the input foot the Push Button is given a voltage 12 VDC, while the output of the Push Button is connected with contact points of the Relay 12 VDC to execute electrically mechanical Overhead Crane. While the Overhead Crane control design using wireless consists of several components, including: Arduino Mega 2560 which is combined with USB Host Shield. Bluetooth csr 4.0 Dongle is connected to the USB Host Shield port for data communication media between Arduino Mega 2560 with Bluetooth Joystick PlayStation 3 (PS3). The signal pin of the Relay modules is connected with Arduino Mega 2560 pins according to the program designed. Contact NO points Relay modules are connected with 12 VDC Relay point contacts to execute electrical mechanical Overhead Crane.

Sign in / Sign up

Export Citation Format

Share Document