Dissertation > Excellent graduate degree dissertation topics show

Study of Nonlinear Predictive Control Approaches

Author: WengXueYi
Tutor: JiangJingPing;ZhaoGuangZhou
School: Zhejiang University
Course: Industrial automation
Keywords: Fuzzy Predictive Control Doctoral Dissertation Zhejiang University Nonlinear model predictive control Fuzzy model Genetic Algorithms Control the amount of Generalized Predictive Control Prediction model Model Algorithmic Control
CLC: TP183
Type: PhD thesis
Year: 1998
Downloads: 890
Quote: 4
Read: Download Dissertation


With the development on theory and practice, predictive control has gradually formed the three methodological mechanism: model prediction, rolling optimization and feedback correction, and it is widely used in the industry. The study of nonlinear predictive control is also developing. This dissertation concentrates on the study of nonlinear predictive control approaches from the view point of predictive model and optimal method. The main contents are as follows:1) Neural Network Predictive Control. Based on the radial basis function network (RBF net) predictive model, a predictive control algorithm is proposed for nonlinear process. In this algorithm, orthogonal least squares learning method is used to establish the off-line process model, and the direct searching method is used to optimize the control variable. For single control horizon, we use the 0.618 method, and Powell’s method is used for multiple control horizon. Through the simulation of a nonlinear process — pH-CSTR, the effect of single control horizon and multiple control horizon is compared. Then an adaptive algorithm is given. A recursive least square method containing the historical data is used for on-line identification of RBF net model. In the simulation, the process is set to the strongest nonlinear point, and the adaptive algorithm gets a satisfied result. And then a nonlinear predictive control based on the steady state error is proposed. In this algorithm, a RBF net is used as a steady state model. In order to improve the dynamic response, a modified algorithm is developed. Another RBF net used as a dynamic model is added to the system and a better effect is proved from the simulation. And then a nonlinear dynamic matrix control based on

Related Dissertations

  1. Fault Diagnosis Research on Three-Tank System,TP277
  2. Development of the on-line Training and Examination System of Army,TP311.52
  3. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  4. Study on Quality Change and Prediction Model for Shelf-life of Chilled Pork,TS251.4
  5. Study on Quality Changes and Firmness Prediction Model of Loquat Fruit after Harvest,TS255.4
  6. A Study on the Predictive Model of Health Assessment in Li River, Guiling, Guangxi,X826
  7. Predicting Wheat Grain Yield and Quality Based on Population Indexes and Nitrogen Nutrient Status,S512.1
  8. Genetic Dissection and Elite Allele Identification of Seed Traits in Soybean Cultivars Released from Huanghuai Valleys and Southern China,S565.1
  9. A Photo-Thermal Model for Predicting Growth and External Quality of Dendrobium Nobile in Greenhouse,S682.31
  10. Studies on Changes of Quality Characters and Prediction Model of Postharvest Tomato Fruit,S641.2
  11. Studies on Prediction Models for Fruit Decay and Shelf-Life of Postharvest Chinese Bayberry,S667.6
  12. Based on Genetic Algorithm Pishihang irrigation canal water allocation marshalling model of,S274
  13. Genetic Algorithm in logistics and warehousing Optimization Research,F259.2
  14. Mining resources based on genetic algorithm optimization model of,O224
  15. The Research and Application of Modified Algorithms About Fuzzy Predictive Functional Control,TP273
  16. Optimal Control of Emulsion System in Cold Rolling,TP273
  17. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  18. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  19. Multi-directional Mutation Genetic Algorithm and Research on Neural Network Optimization,TP18
  20. The Application of Using Genetic Algorithms on Universities Course-arranging System,TP18
  21. Research on Mobile Robot Path Planning and Simulation Realization,TP242

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
© 2012 www.DissertationTopic.Net  Mobile