Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.

Research of Large Erecting Control System Based on Fuzzy PID Control Algorithm

2015 ◽  
Vol 743 ◽  
pp. 146-149
Author(s):  
Wen Liang Guan ◽  
Qin He Gao ◽  
Yi Hong Li ◽  
Zhi Hao Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Model ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Dynamics Model ◽  
Fuzzy Pid Control ◽  
Model Control ◽  
Simulation Results ◽  
The Stability

Dynamics model and Electro-hydraulic proportional control model were established using Simulink and AMESim, Co-simulation was did based on the model. Control Performance of erecting system is Improved based on fuzzy PID control algorithm. Simulation results show that, Overshoot at level exchanging is small, the response is fast and the stability is improved based on fuzzy PID control algorithm.

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.

Design and Simulation of the Intelligent Control of the Greenhouse Temperature

2013 ◽  
Vol 423-426 ◽  
pp. 2851-2854
Author(s):  
Lin Zhao
Keyword(s):  
Mathematical Model ◽  
Intelligent Control ◽  
Control Strategy ◽  
Pid Control ◽  
Time Variation ◽  
Performance Index ◽  
Control Method ◽  
Dynamic Performance ◽  
On Line ◽  
Greenhouse Control

In greenhouse control , The production process of the greenhouse environment has many characteristics, such as time variation, nonlinearity and uncertainty. It's very difficult to build an accurate mathematical model. The effect of the conventional control method is not satisfied. Fuzzy control is used to adjust the parameters of PID control on-line in the aspect of control strategy, accordingly it can make static and dynamic performance index more ideal.

A Fuzzy PID Control Method for the Grasping Force of an Underactuated Prosthetic Hand

2014 ◽  
Vol 551 ◽  
pp. 514-522
Author(s):  
Qun Ming Li ◽  
Ya Ping Lv
Keyword(s):  
Pid Control ◽  
Force Control ◽  
Control Method ◽  
Prosthetic Hand ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Modeling Error ◽  
Fuzzy Pid Control ◽  
Auxiliary Equipment ◽  
Grasping Force

The prosthetic hand which is the auxiliary equipment of the disabled people in the daily life must ensure stable grasping. Therefore, grasping force control with high accuracy and fast response is the most significant demand. With a conventional PID control, nonlinear dynamic and modeling error of prosthetic hand highly affect the control performance, causing deviation of desired force and slow response. A fuzzy PID control strategy is proposed for eliminating the influence of modeling error and implementing the grasping force control. The PID controller parameters are tuned automatically, on-line, to improve the control performance of the prosthetic hand system. The simulation and experimental results are presented to demonstrate the reliability and effectiveness of the proposed control scheme.

Design and Research of Air-Compressor Control System Based on Fuzzy PID Control

2011 ◽  
Vol 121-126 ◽  
pp. 773-777 ◽  
Author(s):  
Gong Fa Li ◽  
Si Qiang Xu ◽  
Guo Zhang Jiang ◽  
Po Gao ◽  
Jian Yi Kong ◽  
...  
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Method ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Air Compressor ◽  
Separation Systems

According to the requirements and characteristics of air compressor control systems in the process of air separation, an intelligent control method based on the fuzzy PID was proposed. Through simulating the designed control method, it is concluded that the control effect was extraordinarily satisfactory. It can offer a certain meaning of guidance and reference for the control of other equipment in air separation systems.

A New Control Method for Fermenter Temperature

2012 ◽  
Vol 236-237 ◽  
pp. 385-389
Author(s):  
Guang Hui Zeng ◽  
Yan Gan
Keyword(s):  
Support Vector Machine ◽  
Steady State ◽  
Least Squares ◽  
Predictive Control ◽  
Pid Control ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Simulation Results ◽  
Controlled Object

A new control method based on least squares support vector machine (LSSVM) and model predictive control (MPC) is proposed for the control of fermenter temperature. Existing PID control doesn’t consider the model of controlled object, so it tends to bring steady-state error. The proposed method utilizes LSSVM to obtain fermenter temperature’s model and then uses it to implement MPC. The simulation results show that our method has better control performance than traditional PID control

Research on Dynamic Performance of Independent Metering Valve-Cylinder System Based on Double Pressure Compound Control

2020 ◽  
Author(s):  
Bin Zhang ◽  
Hui-ming Bao ◽  
Qi Zhong ◽  
Hao-cen Hong ◽  
Hua-yong Yang
Keyword(s):  
Dynamic Characteristics ◽  
Pid Control ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Dynamic Performance ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Cavity Pressure ◽  
Fuzzy Pid Control ◽  
Compound Control

Abstract In hydraulic motion control industries, independent metering valves control system (IMVCS) can effectively improve the control performance of the system, furthermore, it has prominent potential in energy-saving. In IMVCS, the meter-in and meter-out orifices are regulated by two independent valves, which increases the control degrees of freedom. In some working conditions such as lifting where the load is steady, a double pressure compound control (DPCC) strategy that controls inlet and outlet cavities simultaneously can be applied for better dynamic performance. In this paper, a double DPCC strategy is proposed to regulate the pressure of both meter-in and meter-out chambers of a cylinder. Firstly, the control algorithm based on the two-level fuzzy PID (FPID) is designed, which contains a spool displacement controller as an inner loop and a pressure controller as an outer loop. Then, the pressure dynamic characteristics of the system under the IMVCS are studied. The simulation model is established using AMESim-Simulink co-simulation, and its key parameters are identified through experiments. The simulation results show that the dynamic characteristics of the actuator can be increased effectively with two-level fuzzy PID control algorithm and DPCC strategy. The adjusting time and overshoot of cavity pressure can be significantly decreased with them.

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