Modeling, Analysis and Control of Hydraulic Actuator for Forging

This book aims to overcome the current shortcomings of modeling, analysis and control approaches, presenting contributions in three major areas: a) Several novel modeling approaches are proposed: a process/shape-decomposition modeling method to help estimate the deformation force, an online probabil...

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Bibliographic Details
Main Authors: Lu, Xinjiang (Author), Huang, Minghui (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Subjects:
Manufactures.
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Electronics.
Machines, Tools, Processes.
Artificial Intelligence.
Control, Robotics, Automation.
Electronics and Microelectronics, Instrumentation.
Online Access:Full-text access
Table of Contents:
  • Part One: Background and Fundamentals
  • Introduction
  • Literature Survey
  • Part Two: Modelling for Forging Load and Processes
  • Process/Shape-Decomposition Modeling for Deformation Force
  • Online Probabilistic Extreme Learning Machine for Distribution Modeling of Batch Forging Processes
  • Multi-level Parameter Identification Approach
  • Multi-Experiment-Data Based SVD/NN Modeling Approach
  • LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions
  • Hybrid Model-Set/Data Online Modeling Approach for Time-Varying Forging
  • Part Three: Dynamic Analysis for Forging Processes
  • Model-based Dynamic Performance Analysis
  • Closed-Loop Dynamic Performance Analysis
  • Part Four: Intelligent Control for Complex Forging Processes
  • System decomposition based multi-level control
  • Intelligent integration control for Time-Varying Forging Process
  • Conclusion.

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