Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation Controller for Overhead Cranes

2009 ◽  
pp. 67-85
Author(s):  
Wen Yu ◽  
Xiaoou Li
Keyword(s):  
Cerebellar Model Articulation Controller ◽  
Adaptive Compensation ◽  
Overhead Cranes

NONLINEAR CONTROL OF 3-D OVERHEAD CRANES: ENERGY-BASED DECOUPLING

2005 ◽  
Vol 38 (1) ◽  
pp. 275-280 ◽  
Author(s):  
Dongkyoung Chwa ◽  
Keum-Shik Hong
Keyword(s):  
Nonlinear Control ◽  
Overhead Cranes

scholarly journals Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Bo-Jyun Liao ◽  
Chin-Pao Hung
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Fault Diagnosis ◽  
Cerebellar Model Articulation Controller ◽  
Training Process ◽  
Cmac Neural Network ◽  
Photovoltaic Power ◽  
Training Samples ◽  
Parallel Connections ◽  
Model Features

This study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. We composed a module array using 9 series and 2 parallel connections of SHARP NT-R5E3E 175 W photovoltaic modules. In addition, we used data that were outputted under various fault conditions as the training samples for the CMAC and used this model to conduct the module array fault diagnosis after completing the training. The results of the training process and simulations indicate that the method proposed in this study requires fewer number of training times compared to other methods. In addition to significantly increasing the accuracy rate of the fault diagnosis, this model features a short training duration because the training process only tunes the weights of the exited memory addresses. Therefore, the fault diagnosis is rapid, and the detection tolerance of the diagnosis system is enhanced.

scholarly journals Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Nabeel Anwar ◽  
Salman Hameed Khan
Keyword(s):  
Nervous System ◽  
Force Field ◽  
Motor Imagery ◽  
Internal Model ◽  
Human Movement ◽  
Mental Practice ◽  
Higher Learning ◽  
Reaching Movements ◽  
Adaptive Compensation ◽  
Human Nervous System

Human nervous system tries to minimize the effect of any external perturbing force by bringing modifications in the internal model. These modifications affect the subsequent motor commands generated by the nervous system. Adaptive compensation along with the appropriate modifications of internal model helps in reducing human movement errors. In the current study, we studied how motor imagery influences trial-to-trial learning in a robot-based adaptation task. Two groups of subjects performed reaching movements with or without motor imagery in a velocity-dependent force field. The results show that reaching movements performed with motor imagery have relatively a more focused generalization pattern and a higher learning rate in training direction.

The Swing Control of Cranes with Variable Rope Length Based on Linear Time Varying System Theory

2012 ◽  
Vol 461 ◽  
pp. 763-767
Author(s):  
Li Fu Wang ◽  
Zhi Kong ◽  
Xin Gang Wang ◽  
Zhao Xia Wu
Keyword(s):  
State Feedback ◽  
Closed Loop ◽  
Linear Time ◽  
Feedback Stabilization ◽  
Time Varying ◽  
Closed Loop System ◽  
Overhead Cranes ◽  
Time Varying Systems ◽  
Time Invariant ◽  
Time Invariant System

In this paper, following the state-feedback stabilization for time-varying systems proposed by Wolovich, a controller is designed for the overhead cranes with a linearized parameter-varying model. The resulting closed-loop system is equivalent, via a Lyapunov transformation, to a stable time-invariant system of assigned eigenvalues. The simulation results show the validity of this method.

scholarly journals A Systemic Approach to the Compensation of Rain Attenuation in Ka-Band Communication Satellites

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Piero Angeletti ◽  
Marco Lisi
Keyword(s):  
Satellite Communications ◽  
Integrated Approach ◽  
Rain Attenuation ◽  
Systemic Approach ◽  
Band Spectrum ◽  
Effective Solution ◽  
Combined Approach ◽  
Adaptive Compensation ◽  
Ka Band ◽  
Satellite Applications

Rain attenuation at Ka-band is a severe phenomenon that drastically impairs satellite communications at these frequencies. Several adaptive compensation techniques have been elaborated to counteract its effects and most often applied one at a time. The present paper proposes the contemporary exploitation of different techniques in a combined approach. Such an integrated approach is thoroughly analyzed in a simplified scenario and will be shown to achieve a very effective solution, making the Ka-band spectrum fully available for broadband satellite applications and network-centric systems.

Adaptive Compensation of the Mud Pump Noise in a Measurement-While-Drilling System

SPE Journal ◽  
1999 ◽  
Vol 4 (02) ◽  
pp. 128-133 ◽  
Author(s):  
T.L. Brandon ◽  
M.P. Mintchev ◽  
Herb Tabler
Keyword(s):  
Adaptive Compensation ◽  
Measurement While Drilling ◽  
Drilling System
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