Aeroservoelastic Simulation Considering Control System Component Uncertainty

2015 ◽  
Author(s):  
Sang Wu ◽  
Eli Livne
Keyword(s):  
Control System ◽  
System Component

Research of beam control system component simulation and separation method of the kinematics coupling

2015 ◽  
Author(s):  
Yufang Yue ◽  
Xiaogang Xie ◽  
Jianzhu Zhang ◽  
Jianzhu An ◽  
Feizhou Zhang
Keyword(s):  
Control System ◽  
Separation Method ◽  
System Component ◽  
Beam Control

Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*

2021 ◽  
Vol 14 (1) ◽  
pp. 33-53 ◽  
Author(s):  
Himanshukumar R. Patel ◽  
Vipul A. Shah
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Pid Controller ◽  
System Component ◽  
Level Control ◽  
Content Type ◽  
Level Control System ◽  
Interval Type ◽  
Component Faults

PurposeThe two-tank level control system is one of the real-world's second-order system (SOS) widely used as the process control in industries. It is normally operated under the Proportional integral and derivative (PID) feedback control loop. The conventional PID controller performance degrades significantly in the existence of modeling uncertainty, faults and process disturbances. To overcome these limitations, the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative Controller (IT2TID) which is modified structure of PID controller.Design/methodology/approachIn this paper, an optimization IT2TID controller design for the conical, noninteracting level control system is presented. Regarding to modern optimization context, the flower pollination algorithm (FPA), among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID's and IT2FPID's parameters. The proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization problem. System responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the FPA.FindingsAs the results, it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component faults. Additionally, statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent literature.Originality/valueApplication of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of faults. Also, proposed method will compare with other method and statistical analysis will be presented.

Ethics as a control system component

1996 ◽  
Vol 2 (3) ◽  
pp. 259-262 ◽  
Author(s):  
R. E. Spier
Keyword(s):  
Control System ◽  
System Component

The microprocessor as a railway control system component

1976 ◽  
Vol 1 (1) ◽  
pp. 41-47 ◽  
Author(s):  
AH Cribbens ◽  
DH Newing ◽  
HA Ryland
Keyword(s):  
Control System ◽  
System Component

Beam control system component simulation and separation method of kinematic coupling

2014 ◽  
Vol 26 (9) ◽  
pp. 91006
Author(s):  
岳玉芳 Yue Yufang ◽  
谢晓钢 Xie Xiaogang ◽  
张建柱 Zhang Jianzhu ◽  
安建祝 An Jianzhu ◽  
张飞舟 Zhang Feizhou
Keyword(s):  
Control System ◽  
Separation Method ◽  
System Component ◽  
Beam Control ◽  
Kinematic Coupling

scholarly journals Gasoline Engine and Aftertreatment Modeling and Control

2015 ◽  
Vol 137 (12) ◽  
pp. S7-S10
Author(s):  
Mrdjan Jankovic
Keyword(s):  
Control System ◽  
Gasoline Engine ◽  
Precious Metals ◽  
System Component ◽  
Spark Ignition Engines ◽  
Modeling And Control ◽  
Gasoline Engines ◽  
Feed Forward Control ◽  
And Control ◽  
Conversion Efficiencies

This article discusses the design of control system components for gasoline engines. Gasoline or, more precisely, spark ignition engines power a large majority of personal vehicles sold worldwide. A major task for the automakers is to provide good drivability and fuel economy while meeting increasingly stringent emission requirements. Achieving low emissions requires a significant reduction in cold start emissions and employment of catalytic converters to reduce tailpipe emissions once the engine is warmed up. The catalysts are loaded with precious metals – typically platinum, palladium, and rhodium. They achieve very high conversion efficiencies, but only if the engine is operated very close to stoichiometry that corresponds to the air-fuel ratio of about 14.6 for gasoline and of 9 for ethanol. Design of a control system component requires that an appropriate model be developed. The models range from very simple low-order, linear for the inner loop to a partial-differential-equation based model for the catalyst. In general, feedback controllers tolerate and even benefit from simpler models. Feed-forward control, estimation, diagnostics, and failure mode management requires more elaborate models.

Sign in / Sign up

Export Citation Format

Share Document