Research on a generalized predictive control method based on cross-entropy optimization

2013 ◽  
Author(s):  
Zhao Duo ◽  
Jin Weidong ◽  
Huang Jin
Keyword(s):  
Predictive Control ◽  
Control Method ◽  
Cross Entropy ◽  
Generalized Predictive Control ◽  
Entropy Optimization

scholarly journals Adaptive Air-Fuel Ratio Regulation for Port-Injected Spark-Ignited Engines Based on a Generalized Predictive Control Method

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 173 ◽  
Author(s):  
Lei Meng ◽  
Xiaofeng Wang ◽  
Chunnian Zeng ◽  
Jie Luo
Keyword(s):  
Predictive Control ◽  
Noise Suppression ◽  
Control Method ◽  
Simulation Analysis ◽  
Catalytic Converter ◽  
Exhaust Emission ◽  
Generalized Predictive Control ◽  
Si Engine ◽  
Fuel Ratio ◽  
Wall Wetting

The accurate air-fuel ratio (AFR) control is crucial for the exhaust emission reduction based on the three-way catalytic converter in the spark ignition (SI) engine. The difficulties in transient cylinder air mass flow measurement, the existing fuel mass wall-wetting phenomenon, and the unfixed AFR path dynamic variations make the design of the AFR controller a challenging task. In this paper, an adaptive AFR regulation controller is designed using the feedforward and feedback control scheme based on the dynamical modelling of the AFR path. The generalized predictive control method is proposed to solve the problems of inherent nonlinearities, time delays, parameter variations, and uncertainties in the AFR closed loop. The simulation analysis is investigated for the effectiveness of noise suppression, online prediction, and self-correction on the SI engine system. Moreover, the experimental verification shows an acceptable performance of the designed controller and the potential usage of the generalized predictive control in AFR regulation application.

Temperature Control in Distillation Column Using Generalized Predictive Control Method

2003 ◽  
Vol 29 (4) ◽  
pp. 541-545 ◽  
Author(s):  
Zhang Wenlong ◽  
Masao Imaeda ◽  
Kyouji Hashimoto ◽  
Takaaki Kanbe ◽  
Hirofumi Hattori
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Distillation Column ◽  
Control Method ◽  
Generalized Predictive Control

Generalized Predictive Control of Discrete-Time Chaotic Systems

1998 ◽  
Vol 08 (07) ◽  
pp. 1591-1597 ◽  
Author(s):  
Kwang-Sung Park ◽  
Jin-Bae Park ◽  
Yoon-Ho Choi ◽  
Tae-Sung Yoon ◽  
Guanrong Chen
Keyword(s):  
Predictive Control ◽  
Discrete Time ◽  
Control Method ◽  
Initial Conditions ◽  
Generalized Predictive Control ◽  
System Sensitivity ◽  
Initial Sensitivity ◽  
Armax Model ◽  
Time Systems ◽  
Sensitivity To Initial Conditions

A generalized predictive control method based on an ARMAX model is suggested for chaos control in discrete-time systems. Both control performance and system sensitivity to initial conditions of this approach are compared with the conventional model-referenced adaptive control via numerical simulations. Simulation results show that this controller yields faster settling time, more accurate target tracking, and less initial sensitivity.

Design of an Auto-Tuning PID Controller by a Generalized Predictive Control Method

2005 ◽  
Vol 38 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Wenlong Zhang ◽  
Masao Imaeda ◽  
Reginald K. Wood ◽  
Kyoji Hashimoto
Keyword(s):  
Predictive Control ◽  
Pid Controller ◽  
Control Method ◽  
Generalized Predictive Control ◽  
Auto Tuning

An Improved Generalized Predictive Control for AUV Yaw

2012 ◽  
Vol 490-495 ◽  
pp. 1709-1713
Author(s):  
Zhi Jie Tang ◽  
Qing Bo He ◽  
Shu Ai Wang ◽  
Jia Li Shen
Keyword(s):  
Predictive Control ◽  
Control Method ◽  
Underwater Vehicle ◽  
Generalized Predictive Control ◽  
Time Varying ◽  
Large Delay ◽  
Index Function ◽  
Yaw Control ◽  
Time Varying Systems ◽  
Horizontal Stability

In this paper, a new design for underwater vehicle yaw control is presented for nonlinear, large delay, time-varying systems. The horizontal stability controller combines generalized predictive control with FuzzyPID control method. The predictive function is introduced into the tradition FuzzyPID control through optimizing the performance index function of GPC. Computer simulation is provided for verification, and the results show this new controller has a better performance

Adaptive Weighting Decoupling Design for Constrained Generalized Predictive Control Using Improved Genetic Algorithm

2013 ◽  
Vol 441 ◽  
pp. 829-832
Author(s):  
Yong Bin Dai
Keyword(s):  
Genetic Algorithm ◽  
Predictive Control ◽  
Shape Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Main Idea ◽  
Generalized Predictive Control ◽  
Multivariable System ◽  
Improved Genetic Algorithm ◽  
Error Weight

The paper proposes a new method for decoupling multivariable system based on generalized predictive control (GPC) with constrains. It is the main idea of proposed control method that the error weight can change with output deviation caused by reference changes in order to reduce interactions in the system and improve dynamic performance of coupling loops. With improved genetic algorithm to optimize the performance index of GPC, the algorithm is applied to auto shape control and auto gauge control (ASC-AGC). The simulation results demonstrate the efficiency and correctness of approach proposed.

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