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Industrial control systems /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hauppauge, N.Y. :
Nova Science Publishers,
[2011]
|
| Colección: | Mechanical engineering theory and applications.
Engineering tools, techniques and tables. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- INDUSTRIAL CONTROL SYSTEMS ; INDUSTRIAL CONTROL SYSTEMS ; CONTENTS ; PREFACE ; DEVELOPMENT OF FRICTION IDENTIFICATION, MODELING, AND COMPENSATION METHODS FOR FEED DRIVE MOTIONS OF CNC MACHINE TOOLS; ABSTRACT ; 1. INTRODUCTION; 2. DESCRIPTIONS OF EXPERIMENT DESIGN AND MEASUREMENT ; 2.1. Experimental Setup ; 2.2. Measurement and Control ; 2.3. Experiments ; 2.3.1. Breakaway Experiment ; 2.3.2. Constant-Velocity Experiment ; 3. FRICTION IDENTIFICATION TECHNIQUES ; 3.1. Estimation of Position-Dependent Friction ; 3.2. Estimation of Velocity-Dependent Friction.
- 3.3. Integration of Obtained Position-Dependent and Velocity-Dependent Frictions 4. DESIGN OF VELOCITY-BASED FRICTION COMPENSATOR ; 5. EXPERIMENTAL RESULTS OF SINUSOIDAL MOTION TESTS ; 6. EXPERIMENTAL RESULTS OF CIRCULAR MOTION TESTS ; CONCLUSION ; REFERENCES ; DYNAMIC MATRIX CONTROL WITH INTERNAL MODEL BASED ON ANN OF A CONTINUOUS EXTRACTIVE PROCESS FOR BIOETHANOL PRODUCTION ; ABSTRACT ; NOMENCLATURE ; 1. INTRODUCTION ; 1.1. Dynamic Matrix Control (DMC) ; 2. EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.
- 3.2. ANN Model Selection3.3. Validation Parity Plot ; 4. USE OF VARIABLE CONTRIBUTIONS TO THE ANN OUTPUT TO IDENTIFY THE IMPORTANCE OF VARIABLES ; 5. USE OF RANDOM STEP DISTURBANCES TO SELECT THE MANIPULATED AND CONTROLLED VARIABLES ; 6. NETWORK TRAINING ; 7. NONLINEAR PREDICTIVE CONTROL ; CONCLUSION ; REFERENCES ; NONDESTRUCTIVE DYNAMIC MONITORING OF ACCELERATED ION BEAMS; ABSTRACT ; INTRODUCTION ; 1. DYNAMIC NONDESTRUCTUVE BEAM DIAGNOSTICS FOR INDUSTRIAL CYCLOTRON ; 1.1. Simulation ; 1.2. Dynamic Beam Diagnostic System ; 1.2.1. Transparent Profilometers.
- 1.2.2. Charge-Frequency Converters 1.2.3. Measurements ; 2. DYNAMIC NONDESTRUCTUVE BEAM DIAGNOSTICS FOR CIRCULATING BEAM OF RESEARCH ACCELERATOR ; 2.1. Detector Design ; 2.2. Readout Electronics and Measurements ; CONCLUSION ; REFERENCES ; ADAPTIVE JACOBIAN TRAJECTORY TRACKING FOR SERIAL ROBOT MANIPULATOR PASSING THROUGH SINGULARITIES ; ABSTRACT ; 1. INTRODUCTION ; 2. KINEMATICSJACOBIAN OF SERIAL ROBOT MANIPULATORS ; 3. ARTIFICIAL NEURAL NETWORKS (ANNS) ; 4. COLLECTING TRAINING DATA ; 5. NETWORK'S IMPLEMENTATION ; 5.1. Training Stage ; 5.2. Testing Stage; CONCLUSIONS ; REFERENCES.
- INTELLIGENT CONTROL SYSTEM FOR AN INDUSTRIAL MANIPULATORAbstract; 1Introduction; 2AdaptiveLearningTechniqueforLarge-ScaleTeachingSignals; 2.1Background; 2.2Model-basedroboticservosystem; 2.2.1Computedtorquecontrolmethod; 2.2.2TeachingsignalforRNN; 2.3Independentrecurrentneuralnetworksforanindustrialrobotwithsixjoints; 2.3.1AdaptivelearningofRNNs; 2.3.2LearningresultsofRNNs; 2.4AdvancedservosystemusingintegratedRNNs; 3FineGainTuningforModel-BasedRoboticServoControllersUsingGeneticAlgorithms; 3.1Background; 3.2RoboticServoController; 3.2.1ResolvedAccelerationControl.