Pre-Estimating Dynamically the Optimum of Extremum Value Control System with Large Time Delay Element Based on Correlation Identification

2012 ◽  
Vol 591-593 ◽  
pp. 1558-1562
Author(s):  
Guo Qiang Li ◽  
Yong Qin Liu ◽  
Wen Jiang Liu

As to the optimum of extremum value controlled plant, if the transfer function of its linear part is only with the high order dynamic elements, the optimum of extremum value control system could be dynamically pre-estimated by using the method based on correlation identification we presented, the pre-estimating method has the estimate speed quickly, anti-jamming ability strong, accurate, highly effective and so on the merits. However, if the controlled plant is simultaneously with high order dynamic elements and a large time delay element, the method could not be used directly to pre-estimate dynamically the optimum of the extremum value control system. A new improved pre-estimating method is presented so as to resolve the problem above. After we have in detail analyzed the derivation process of the pre-estimating method we presented, Fully taking into account the effects of large time-delay element, a number of conditions have been improved, the algorithm based on correlation identification has been extended, the optimum of extremum value control system with a large time delay element is well resolved by the extended algorithm.

2012 ◽  
Vol 507 ◽  
pp. 176-179
Author(s):  
Guo Qiang Li ◽  
Yong Qin Liu ◽  
Wen Jiang Liu

As the optimum of extremum value control system drifts faster it may make bigger error for pre-estimating statically the optimum, it is particularly remarkable if the transfer function of the linear part is with a high order dynamic element. In this paper, a method based on LS(least squares) is presented to pre-estimate dynamically the optimum of extremum value control system. The linear part of controlled plant could be approximated by a cascade of 1st order dynamic element and a pure time delay element as the controlled model is simplified it is successfully resolved for pre-estimating dynamically the optimum of extremum value control system with a high order element by LS.


2013 ◽  
Vol 860-863 ◽  
pp. 2337-2341
Author(s):  
Hua Xue ◽  
Yue Fan

When using a remote networked control system, a network-induced time-delay is generated, which causes advert effects on the closed-loop networked control system such as performance degradation and system destabilization. For solving the time-delay in remote control system, intelligent fuzzy logic compensator is introduced in this paper to improve the traditional networked PI control system. In the full adaptive fuzzy parameter adjustment, off-line optimization and on-line adaptation are applied to the design of the controller, So that the consequent parameters can be tuned adaptively, As well as the membership functions in the antecedent part Simulation results of a networked controlled Brushless DC motor is used to illustrate the effectiveness and feasibility of the proposed fuzzy PI control scheme.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Shini Chen ◽  
Xia Liu

To improve the trajectory tracking performance of a complex nonlinear robotic system, a velocity-free adaptive time delay control is proposed. First, considering that conventional time delay control (TDC) may cause large time delay estimation (TDE) error under nonlinear friction, a TDC with gradient estimator is designed. Next, since it is complicated and time-consuming to adjust gains manually, an adaptive law is designed to estimate the gain of the gradient. Finally, in order to avoid the measurement of velocity and acceleration in the controller while enabling the robot to implement position tracking, an observer is designed. The proposed control can not only offset the nonlinear terms in the complex dynamics of the robotic system but also reduce the TDE error, estimate the gain of the gradient online, and avoid the measurement of velocity and acceleration. The stability of the system is analyzed via Lyapunov function. Simulations are conducted on a 2-DOF robot to verify the effectiveness of the proposed control.


2014 ◽  
Vol 644-650 ◽  
pp. 684-688
Author(s):  
Song Wei Huang ◽  
Ge Peng ◽  
Li Fang He

Control of pulp pH value is the key step in the process of washing zinc oxide. Due to the characteristics of large time delay and strong nonlinear, the control of pulp pH value is very difficult. In this paper, aiming at the above problem and according to the features of washing operation of zinc oxide powder, design a control system of a fuzzy controller, secondary fuzzy controller and PI controller.


2012 ◽  
Vol 503-504 ◽  
pp. 1609-1613
Author(s):  
Guo Yi Zhou ◽  
Gao Su ◽  
Fei Du ◽  
Zhong Gen Li

There is a diathermaneity process between the fuel combustion and generate steam when the supercharged boiler is working. That is to say there are large time-delay and large fluctuation when it’s been regulated. In this paper, the relationships between radiation energy signal, fuel consumption and the heat absorption rate of the raiser were analyzed. The radiation energy signal in the furnace was introduced into the original control system as a feedback signal. A combustion auxiliary control circuit was added to form a new control strategy and the simulation model was established.


2011 ◽  
Vol 5 (5) ◽  
pp. 679-687 ◽  
Author(s):  
Christian Brecher ◽  
◽  
Adam Wissmann

This paper presents the continuance of the scientific work on compensation of thermo-dependent machine tool deformations due to spindle load in consideration of rough machining. After the development of an indirect compensation method, based on a transfer function using a third order time delay element, further works have been focused on the reduction of the modeling effort. The reduction of the modeling effort makes the developed compensation approach suitable for the industry. The thermo-dependent behavior of machine tools is strongly non-linear. Hence, modeling in several operating points is essential. Primarily, the investigated machine tool wasmodeled by using six spindle speed levels. Due to different possible torques at every speed level, the power spectrum of the spindle was divided into four power levels. Thus, the starting point was the modeling of thermo-dependent machine tool deformation by executing 24 experiments. The appropriate compensation results were very satisfactory. The aim of the presented work is a compensation result of similar performance achieved by noticeable lower modeling effort. In the first step, the thermal behavior of the investigated milling machine is analyzed. The analysis affects the choice of adequate speed and power levels for modeling. According to previous results, the chosen transfer function is a third order time delay element. The performance of the compensation method based on a reduced number of models is validated on two different speed / power spectra. The final comparison of the compensation results regarding root mean square errors presents the benefit.


2015 ◽  
Vol 135 (3) ◽  
pp. 268-275 ◽  
Author(s):  
Daisuke Yashiro ◽  
Tadashi Hieno ◽  
Kazuhiro Yubai ◽  
Satoshi Komada

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