Trends in Harmonization of Multiple Reference Models

2011 ◽  
pp. 61-73 ◽  
Author(s):  
César Pardo ◽  
Francisco J. Pino ◽  
Félix García ◽  
Mario Piattini Velthius ◽  
Maria Teresa Baldassarre
Keyword(s):  
Reference Models ◽  
Multiple Reference

HProcessTOOL: A Support Tool in the Harmonization of Multiple Reference Models

2011 ◽  
pp. 370-382 ◽  
Author(s):  
César Pardo ◽  
Francisco Pino ◽  
Félix García ◽  
Francisco Romero Romero ◽  
Mario Piattini ◽  
...  
Keyword(s):  
Support Tool ◽  
Reference Models ◽  
Multiple Reference

From chaos to the systematic harmonization of multiple reference models: A harmonization framework applied in two case studies

2013 ◽  
Vol 86 (1) ◽  
pp. 125-143 ◽  
Author(s):  
César Pardo ◽  
Francisco J. Pino ◽  
Félix Garcia ◽  
Maria Teresa Baldassarre ◽  
Mario Piattini
Keyword(s):  
Case Studies ◽  
Reference Models ◽  
Multiple Reference

Fuzzy Multiple Reference Models Adaptive Control of Induction Motors

2011 ◽  
Vol 354-355 ◽  
pp. 1285-1288
Author(s):  
Hua Xue ◽  
Yu Fei Wang
Keyword(s):  
Adaptive Control ◽  
Reference Model ◽  
Dynamic Performance ◽  
Model Parameters ◽  
Reference Models ◽  
Parameter Variations ◽  
Speed Change ◽  
High Dynamic ◽  
Suitable Reference ◽  
Multiple Reference

A new method of fuzzy multiple reference models adaptive control(FMRMAC) for dealing with significant and unpredictable system parameter variations is presented. In this method, different suitable reference model is chosen by fuzzy rules when changes occurred to the model parameters. A successful application to the speed servo system of dynamic model of induction motor (IM) shows this method works well with high dynamic performance under the condition of command speed change and load torque disturbance.

Multi-Model Adaptation Fuzzy Control for the Deep Sea Walking Hydraulic Control System

2011 ◽  
Vol 383-390 ◽  
pp. 558-564
Author(s):  
Qing Bo Meng ◽  
Yi Xin Yin ◽  
Gui Ling Qiao
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Deep Sea ◽  
Phase Plane ◽  
Control Method ◽  
Model Adaptation ◽  
Hydraulic Control ◽  
Reference Models ◽  
Multiple Reference ◽  
Hydraulic Control System

To accommodate deep sea walking wheel the complex characteristics of deep sea environment such as randomness, non-linear and variability, the algorithm of Multi-Model-Reference Adaptation Fuzzy Control is presented to run the walking wheel system steadily. This control method incorporates the multiple reference models, fuzzy control and the conventional PID control; it runs efficiently by the control compensation deduced by the error of different phase-plane zones with the guidance of reference models.

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