A survey of Fractional-Order Generalized Predictive Control

2012 ◽  
Author(s):  
M. Romero ◽  
A.P. de Madrid ◽  
C. Manoso ◽  
B.M. Vinagre
Keyword(s):  
Fractional Order ◽  
Predictive Control ◽  
Generalized Predictive Control

Generalized predictive control for fractional order dynamic model of solid oxide fuel cell output power

2010 ◽  
Vol 195 (24) ◽  
pp. 8097-8103 ◽  
Author(s):  
Zhonghua Deng ◽  
Hongliang Cao ◽  
Xi Li ◽  
Jianhua Jiang ◽  
Jie Yang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Dynamic Model ◽  
Output Power ◽  
Fractional Order ◽  
Predictive Control ◽  
Solid Oxide ◽  
Generalized Predictive Control ◽  
Oxide Fuel

Application of Generalized Predictive Control to a Fractional Order Plant

2007 ◽  
Author(s):  
Miguel Romero ◽  
A´ngel P. de Madrid ◽  
Carolina Man˜oso ◽  
Roberto Herna´ndez
Keyword(s):  
Fractional Order ◽  
Predictive Control ◽  
Large Scale ◽  
Generalized Predictive Control ◽  
Discrete Approximations ◽  
Stability Performance ◽  
Industry Standard ◽  
Constraints Handling ◽  
Model Predictive Controllers ◽  
Predictive Controllers

This paper deals with the use of model predictive controllers (MPC) for controlling fractional order plants. MPC is an industry standard due to its intrinsic ability to handle input and state constraints for large scale multivariable plants. The method is illustrated with Generalized Predictive Control (GPC) and two low order discrete approximations of the fractional order plant (the so-called Chebyshev-Pade´ and Rational Chebyshev approximations) as model. It is shown how stability, performance and constraints handling can be achieved with ease when dealing with fractional order plants. It is also shown how robustness can be improved by means of a prefilter.

scholarly journals An Active Equalization Method for Lithium-ion Batteries Based on Flyback Transformer and Variable Step Size Generalized Predictive Control

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 207
Author(s):  
Jianwen Cao ◽  
Bizhong Xia ◽  
Jie Zhou
Keyword(s):  
Energy Consumption ◽  
Lithium Ion Batteries ◽  
Predictive Control ◽  
Lithium Ion ◽  
Generalized Predictive Control ◽  
Variable Step Size ◽  
Size Factor ◽  
Step Size ◽  
Variable Step ◽  
Equalization Method

The inconsistency in large-scale battery pack significantly degrades the performance of electric vehicles. In order to diminish the inconsistency, the study designs an active equalization method comprising of equalizer and equalization strategy for lithium-ion batteries. A bidirectional flyback transformer equalizer (BFTE) is designed and analyzed. The BFTE is controlled by a pulse width modulation (PWM) controller to output designated balancing currents. Under the purpose of shortening equalization time and reducing energy consumption during the equalization process, this paper proposes an equalization strategy based on variable step size generalized predictive control (VSSGPC). The VSSGPC is improved on the generalized predictive control (GPC) by introducing the Step Size Factor. The VSSGPC surmounts the local limitation of GPC by expanding the control and output horizons to the global equalization process without increasing computation owing to the Step Size Factor. The experiment results in static operating condition indicate that the equalization time and energy consumption are reduced by 8.3% and 16.5%, respectively. Further validation in CC-CV and EUDC operating conditions verifies the performance of the equalizer and rationality of the VSSGPC strategy.

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