The Brazing Furnace Intelligent Control Scheme Research of Application

2014 ◽  
Vol 602-605 ◽  
pp. 1135-1138
Author(s):  
Cai Hong Yao ◽  
Xing Jia Jiang
Keyword(s):  
State Space ◽  
Pid Control ◽  
Performance Index ◽  
High Performance ◽  
State Feedback ◽  
Simulation Analysis ◽  
Dynamic Performance ◽  
Optimum Control ◽  
Actual System ◽  
Control Scheme

For the brazing furnace work system with time-varying, hysteresis and nonlinearity characteristic, the traditional PID control cannot meet the requirements of high-performance. Fuzzy self-tuning PID control scheme, can effectively overcome the interference effect, has good adaptability. But the based on modern control theory state space analytic method uses state feedback, not only promulgating the system internal structural property, to realize the optimum control to system’s compound performance index. By combining state feedback and PID control of the respective advantages, determined the brazing furnace temperature system’s optimum control scheme. Either the simulation analysis or actual system operation fully explaining fuzzy intelligent designs of the tuning PID and the optimal control scheme based on state space method have improved significantly the system's steady-state and dynamic performance index.

State-Space Dynamic Performance Preview-Predictive Controller

2006 ◽  
Vol 129 (2) ◽  
pp. 144-153 ◽  
Author(s):  
Andrzej W. Ordys ◽  
Masayoshi Tomizuka ◽  
Michael J. Grimble
Keyword(s):  
State Space ◽  
Predictive Control ◽  
Performance Index ◽  
Dynamic Performance ◽  
Optimization Procedure ◽  
Control Algorithms ◽  
Optimization Approach ◽  
Linear Quadratic ◽  
Preview Control ◽  
Predictive Controller

The paper discusses state-space generalized predictive control and the preview control algorithms. The optimization procedure used in the derivation of predictive control algorithms is considered. The performance index associated with the generalized predictive controller (GPC) is examined and compared with the linear quadratic (LQ) optimal control formulation used in preview control. A new performance index and consequently a new algorithm is proposed dynamic performance predictive controller (DPPC) that combines the features of both GPC and preview controller. This algorithm minimizes the performance index through a dynamic optimization. A simple example illustrates the features of the three algorithms and prompts a discussion on what is actually minimized in predictive control. The DPPC algorithm, derived in this paper, provides for a minimum of the predictive performance index. The differences and similarities between the preview control and the predictive control have been discussed and optimization approach of predictive control has been explained.

Research on the PID Control Strategy in BP Neural Network of Terrain Detector-Milling Cutting Depth System

2014 ◽  
Vol 945-949 ◽  
pp. 1573-1578
Author(s):  
Xiao Feng ◽  
Hao Hu ◽  
Fan Rang Kong ◽  
Shi Qiu ◽  
Ye Sun
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Bp Neural Network ◽  
Pid Control ◽  
Simulation Analysis ◽  
Dynamic Performance ◽  
Effective Control ◽  
Cutting Depth ◽  
Hydraulic Servo

Targeting at the nonlinear, time-varying characteristics of terrain detector-milling cutting depth electro-hydraulic servo system in soil milling collection machines, this paper proposed the PID control menthod in BP neural network of terrain detector - milling cutting depth system and designed PID controller in BP neural network and conducted simulation analysis by programming with Matlab. The results show that, when compared with conventional PID control, BP neural network compounded with PID control would enable the system better dynamic performance and follow-up characteristics, therefore, it is an effective control strategy.

Design of Optimum Controller of APT Fine Tracking Control System

2013 ◽  
Vol 712-715 ◽  
pp. 2738-2741 ◽  
Author(s):  
Ming Qiu Li ◽  
Shu Hua Jiang
Keyword(s):  
Pid Control ◽  
Tracking Control ◽  
Control Algorithm ◽  
Tracking System ◽  
Dynamic Performance ◽  
Tracking Error ◽  
Stable State ◽  
Response Speed ◽  
Optimum Control ◽  
Performance Requirements

APT (Acquisition, Pointing, and Tracking) system of space laser communication adopts compound axis structure; it consists of coarse tracking and fine tracking system. Its response speed and tracking precision mainly rests with the fine tracking system. Traditional PID control algorithm often is used in APT fine tracking system. In order to improve the dynamic performance of the system and decrease the tracking error, optimum control technology was adopted in this paper. On the basis of considering the system dynamic performance requirements and tracking precision requirement, optimum controller was designed. The simulation result shows that the bandwidth of APT fine tracking system is up to 1310 Hz, and the stable state error is less than 0.002. Compared with PID control, optimum control can improve the tracking performance of system.

Boiler Combustion Control System Optimization Strategy

2013 ◽  
Vol 397-400 ◽  
pp. 1064-1068
Author(s):  
Yong Zhang ◽  
Yuan Yao ◽  
Ting Luan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Control Program ◽  
System Optimization ◽  
Optimization Strategy ◽  
Steam Quality ◽  
Control Scheme ◽  
Better Than ◽  
Fuzzy Adaptive

Optimal control of the boiler combustion system is related to the economy and stability of the entire production process. To the problem that the boiler main product steam quality and the safe operation of the boiler optimization control, the fuzzy adaptive algorithm combined with the traditional PID control in the DCS system is proposed. The method optimizes the control system parameters and improves the control program. The simulation results show that the control scheme is better than the traditional PID control, and has good dynamic performance and stability. Both the boiler outlet steam quality and the security operation of boiler are improved.

The Research on Height Control of Airship with Constant Flying Speed

2014 ◽  
Vol 644-650 ◽  
pp. 875-878
Author(s):  
Xin Li Zhang ◽  
Yun An Hu ◽  
Di Liu
Keyword(s):  
Nonlinear Model ◽  
Flight Control ◽  
Pid Control ◽  
Simulation Analysis ◽  
Reference Value ◽  
Control Law ◽  
High Increase ◽  
Height Control ◽  
Control Scheme ◽  
Detailed Simulation

The PID control scheme of airship with fixed flying high is studied in allusion to pitch channel nonlinear model of a class of stratosphere airship in this paper. The traditional PID control law is designed aim at the fixed high flight control of airship. The detailed simulation analysis is presented. It indicates that the airship can realize the fixed high flight in the range of 1000 meters. When flying high increase further, PID control scheme is not reasonable because instruction is too large. At the same time, the speed of engine has large influence on PID control scheme. The research of paper has good technical reference value for design and experiments of stratosphere airship.

scholarly journals Adaptive Nonlinear Control of A Synchronous Generator

2018 ◽  
Vol 11 (2) ◽  
pp. 39-43
Author(s):  
Moulay Fatima ◽  
Habbatti Assia ◽  
Hamdaoui Habib
Keyword(s):  
Nonlinear Control ◽  
State Feedback ◽  
Control Method ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Adaptive Nonlinear Control ◽  
Control Scheme ◽  
High Dynamic ◽  
Nonlinear Control Method ◽  
Initial Results

Abstract In this work, an adaptive nonlinear control method, was applied to a synchronous generator and we give some initial results on the adaptive control of nonlinear systems which are exactly input-output linearizable by state feedback. Parameters adaptation is used as a technique to robustify the exact cancelation of nonlinear terms, which is called for the linearization technique. The performance of the proposed adaptive nonlinear control scheme is demonstrated by simulation results. These results show that the proposed method achieves the same high dynamic performance as vector control.

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.

State Space Analysis and Optimal Control for Aircraft Simulator Pitch Electric Control Loading System

2013 ◽  
Vol 367 ◽  
pp. 382-387
Author(s):  
Chun Ping Pan ◽  
Li Xin Li ◽  
Yong Liang Wang
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
State Space ◽  
State Feedback ◽  
Analog Computer ◽  
Electric Control ◽  
Control Scheme ◽  
Loading System ◽  
Linear State ◽  
Optimal Control Scheme

An electric control loading system for aircraft simulation was analyzed and modeled to find a linear state space mathematical model and state feedback. An optimal control scheme based on the minimum integral of the squared difference between desired and actual output was shown to be effective by comparing the output values of the system with previously obtained experimental data. A linear state space mathematical model and state feedback appear to provide satisfactory means for controlling an electric control loading system can be adjusted to simulate a wide variety of real aircraft by altering input and output gains at the force analog computer when aircraft parameters are changed.

Design for Boost DC-DC Converter Controller Based on State-Space Average Method

2014 ◽  
Vol 945-949 ◽  
pp. 2867-2870
Author(s):  
Shi Su ◽  
Jia Quan Yang ◽  
Jing Xi Zou ◽  
Wen Bin Zhang
Keyword(s):  
Mathematical Model ◽  
State Space ◽  
Average Method ◽  
High Performance ◽  
Closed Loop ◽  
Dynamic Performance ◽  
Boost Converter ◽  
Closed Loop System ◽  
New Methods ◽  
The Mathematical Model

In the process of designing high performance switch power, need to establish the accurate mathematical model of converter. The DC/DC converter generally has the characteristics of nonlinear, multimodal, time-varying, so need to use new methods to study it. The work of this paper aimed at non isolated DC / DC converter, established the mathematical model of Boost converter circuit by using the state space average method. Then design the closed-loop PI controller based on the Boost converter model, the closed-loop system has good static and dynamic performance, to meet the requirements of use.

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