scholarly journals A Self-Tuning PID Control Method for Multi-Input-Multi-Output Nonlinear Systems

2018 ◽  
Vol 18 (2) ◽  
pp. 218-226
Author(s):  
Baris Bidikli ◽  
Keyword(s):  
Nonlinear Systems ◽  
Pid Control ◽  
Control Method ◽  
Self Tuning

Smith Prediction Based on Genetic Algorithm Self-Tuning PID Control

2014 ◽  
Vol 602-605 ◽  
pp. 1186-1189
Author(s):  
Dong Sheng Wu ◽  
Qing Yang
Keyword(s):  
Genetic Algorithm ◽  
Time Delay ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Delay System ◽  
Time Delay System ◽  
Self Tuning ◽  
On Line ◽  
Turning Control

Aiming at the phenomena of big time delay are normally existing in industry control, this paper proposes an intelligent GA-Smith-PID control method based on genetic algorithm and Smith predictive compensation algorithm and traditional PID controller. This method uses the ability of on line-study, a self-turning control strategy of GA, and better control of Smith predictive compensation to deal with the big time delay. This method overcomes the limitation of traditional PID control effectively, and improves the system’s robustness and self-adaptability, and gets satisfactory control to deal with the big time delay system.

scholarly journals Neuro-PID Control for Electric Vehicle

2011 ◽  
Vol 15 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Shigeru Omatu ◽  
◽  
Michifumi Yoshioka ◽  
Toru Fujinaka ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Control Method ◽  
Torque Control ◽  
Learning Ability ◽  
Control Problems ◽  
Process Industries ◽  
The Neural Network ◽  
Control Scheme ◽  
Self Tuning

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

A self-tuning PID control for a class of nonlinear systems based on the Lyapunov approach

2002 ◽  
Vol 12 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Wei-Der Chang ◽  
Rey-Chue Hwang ◽  
Jer-Guang Hsieh
Keyword(s):  
Nonlinear Systems ◽  
Pid Control ◽  
Lyapunov Approach ◽  
Self Tuning

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

The Fuzzy Self-Tuning PID Control for Boiler Drum Water Level

2012 ◽  
Vol 198-199 ◽  
pp. 1231-1234 ◽  
Author(s):  
Yong Sheng Zhang ◽  
Shu Qin Zhao
Keyword(s):  
Fuzzy Logic ◽  
Water Level ◽  
Pid Control ◽  
Control Method ◽  
Effective Control ◽  
Level Control ◽  
Quality Of Water ◽  
Self Tuning ◽  
Boiler Drum ◽  
Time Lagged

In order to improve the control quality of water level for boiler drum, a fuzzy self-tuning PID level controller for boiler drum was designed based on the fuzzy logic principle. The fuzzy logic toolbox and Simulink module of Matlab software were used for the modeling of the water level control system of boiler drum. Numerical simulation was implemented. The result shows that the fuzzy self-tuning PID control has such virtues as smaller overshoot, shorter regulating time and stronger robustness than conventional three-element PID control. The fuzzy self-tuning PID control is especially effective for nonlinear system like boiler with multivariable, large time lagged and strong coupling. It is a very effective control method with widely application prospect.

A Robust Design of SD-PID and BP-PID Simulated Control Model for Brake Designing

2010 ◽  
Vol 29-32 ◽  
pp. 2089-2095
Author(s):  
Dan Ma ◽  
Ji Da Huang
Keyword(s):  
Robust Design ◽  
Pid Control ◽  
Control Method ◽  
Computer Control ◽  
Control Model ◽  
Motor Drive ◽  
Drive Current ◽  
Energy Error ◽  
Self Tuning ◽  
Exact Relationship

Based on the complexity of brake, this paper simulated the exact relationship between time and motor drive current. According to the principle of robust design, analysis of experimental data obtained the current-driven expression, and on this basis we established PID control model based on system dynamics and BP neural network self-tuning, then, this paper improved compensation for the PID control model, got the computer control method which design the current value this time based on observations of the previous period, simulated the exact relationship between the time and the motor drive current. The energy error from observation of the control simulation is very small, which verifies the correctness of the control method.

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