scholarly journals H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaofeng Liu ◽  
Xu Sun
Keyword(s):  
Control System ◽  
Control Systems ◽  
Gas Turbine ◽  
Distributed Control ◽  
Cascade Control ◽  
Linear Matrix ◽  
Engine Control ◽  
Packet Dropouts ◽  
Stable Conditions ◽  
Cascade Control System

The distributed control architecture becomes more and more important in future gas turbine engine control systems, in which the sensors and actuators will be connected to the controllers via a network. Therefore, the control problem of network-enabled high-performance distributed engine control (DEC) has come to play an important role in modern gas turbine control systems, while, due to the properties of the network, the packet dropouts must be considered. This study introduces a distributed control system architecture based on a networked cascade control system (NCCS). Typical turboshaft engine distributed controllers are designed based on the NCCS framework with H∞ state feedback under random packet dropouts. The sufficient robust stable conditions are derived via the Lyapunov stability theory and linear matrix inequality approach. Simulations illustrate the effectiveness of the presented method.

LQR Control Design of Discrete-Time Networked Cascade Control Systems With Time Delay

2011 ◽  
Author(s):  
Rohit K. Belapurkar ◽  
Rama K. Yedavalli
Keyword(s):  
Control System ◽  
Control Systems ◽  
Discrete Time ◽  
Time Delays ◽  
Control Design ◽  
Aircraft Engine ◽  
Cascade Control ◽  
Engine Control ◽  
Lqr Control ◽  
Turboshaft Engine

Series cascade control systems, in which, the output of one process drives a second process are studied extensively in literature. Traditional control design methods based on transfer function approach are used for design of cascade control systems with disturbances in inner loop and time delays in outer loop process. Design of current turboshaft engine control systems are based on cascade control system framework. Next generation aircraft engine control systems are based on distributed architecture, in which, communication constraints like time delays can degrade control system performance. Stability of networked cascade control systems for turboshaft engines in a state space framework is analyzed in the presence of time delays. Two architectures of networked cascade control systems are presented. Stability conditions for discrete-time cascade control systems are presented for each of the architecture with time delays which are more than the sampling time.

Advanced Control Program for Army Gas Turbine Engines

1973 ◽  
Author(s):  
A. H. White ◽  
D. F. Wills
Keyword(s):  
Control System ◽  
Control Systems ◽  
Gas Turbine ◽  
Control Program ◽  
Turbine Engines ◽  
Engine Control ◽  
Gas Turbine Engines ◽  
System Technology ◽  
Engine Control System ◽  
Advanced Control

This paper summarizes the results of a 30-month program of design, fabrication, and test of an advanced electronic engine control system for small (2 to 5-lb/sec airflow) turboshaft engines. The objective of the program was to develop engine control system technology which would be implemented in future systems to meet advanced engine requirements and to alleviate many of the problems experienced with past and present control systems.

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

Fuzzy Fractional Order PID Based Parallel Cascade Control System

2014 ◽  
pp. 293-302 ◽  
Author(s):  
Rangaswamy Karthikeyan ◽  
Sreekanth Pasam ◽  
Sandu Sudheer ◽  
Vallabhaneni Teja ◽  
Shikha Tripathi
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Cascade Control ◽  
Fractional Order Pid ◽  
Cascade Control System

A parallel and cascade control system: magnetofection of miR125b for synergistic tumor-association macrophage polarization regulation and tumor cell suppression in breast cancer treatment

Nanoscale ◽  
2020 ◽  
Vol 12 (44) ◽  
pp. 22615-22627
Author(s):  
Ao Hu ◽  
Xiaobing Chen ◽  
Qunjie Bi ◽  
Yang Xiang ◽  
Rongrong Jin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Control System ◽  
Tumor Cell ◽  
Cancer Treatment ◽  
Macrophage Polarization ◽  
Breast Cancer Treatment ◽  
Cascade Control ◽  
Cell Suppression ◽  
Tumor Association ◽  
Cascade Control System

A parallel and cascade controllable magnetofection system for synergistic tumor-association macrophage repolarization and tumor cell suppression in breast cancer treatment.

scholarly journals Investigation of Unmeasured Parameters Estimation for Distributed Control Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Hao Wang ◽  
Shousheng Xie ◽  
Weixuan Wang ◽  
Lei Wang ◽  
Jingbo Peng
Keyword(s):  
Control Systems ◽  
Distributed Control ◽  
Fuzzy Model ◽  
Iterative Solution ◽  
Parameters Estimation ◽  
Tuning Parameter ◽  
Linear Matrix ◽  
State Variables ◽  
Distributed Control Systems ◽  
Estimated Error

The problem of unmeasured parameters estimation for distributed control systems is studied in this paper. The Takagi–Sugeno fuzzy model which can appropriate any nonlinear systems is employed, and based on the model, an observer-based fuzzy H∞ filter which has robustness against time-delay, external noise, and system uncertainties is designed. The sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Moreover, the underdetermined estimation problem in which the number of sensors available is typically less than the number of state variables to be estimated is specifically addressed. A systematic method is proposed to produce a model tuning parameter vector of appropriate dimension for the estimation of the filter, and the optimal transformation matrix is selected via iterative solution to minimize the estimated error. Finally, a simulation example for turbofan aeroengine is given to illustrate the effectiveness of the proposed method, and the estimated error is less than 2.5%.

scholarly journals Application of the genetic algorithm for cascade control of a HVAC system

2019 ◽  
Vol 292 ◽  
pp. 01064 ◽  
Author(s):  
Donka Ivanova ◽  
Nikolay Valov ◽  
Martin Deyanov
Keyword(s):  
Genetic Algorithm ◽  
Control Systems ◽  
Pid Controller ◽  
Classical Method ◽  
Pi Controller ◽  
Cascade Control ◽  
Hvac System ◽  
Cascade System ◽  
Outer Loop ◽  
Cascade Control System

In this article the application of genetic algorithm for tuning of HVAC cascade system is proposed. The tuning procedure for a cascade system is very time-consuming and practice shows that additional controller tuning is needed when classical method is used. The main problem in classical method is the interconnection between the parameters of the two controllers. The proposed optimal tuning procedure overcomes the disadvantages. It is based on the following criteria: minimum integral square error, minimum settling time and minimum overshoot. The best process quality is achieved with PI controller in the inner loop and a PID controller in the outer loop of the cascade HVAC system. The proposed method for simultaneous tuning of controller parameters in a cascade control system can be applied in different control systems.

scholarly journals Performance Assessment of Cascade Control System with Non-Gaussian Disturbance Based on Minimum Entropy

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 379 ◽  
Author(s):  
Qian Zhang ◽  
Ya-Gang Wang ◽  
Fei-Fei Lee ◽  
Wei Zhang ◽  
Qiu Chen
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Chemical Engineering ◽  
Control Strategies ◽  
Thermal Power ◽  
Cascade Control ◽  
Effective Control ◽  
Minimum Entropy ◽  
Non Gaussian ◽  
Cascade Control System

Due to the fact that cascade control can improve the single-loop’s performance well and reduce the integral error from disturbance response, it has been one of the most important control strategies in industrial production, especially in thermal power plant and chemical engineering. However, most of the existing research is based on the Gaussian system and other few studies on the non-Gaussian cascade disturbance system also have obvious defects. In this paper, an effective control loop performance assessment (CPA) of cascade control system for many non-Gaussian distributions even the unknown mixture disturbance noise has been proposed. Compared to the minimum variance control (MVC) approach, the minimum entropy control (MEC) method can obtain a more accurate estimate. In this method, like MVC, the primary loop output and secondary loop output can be represented as invariant and dependent terms, then adopted estimated distribution algorithm (EDA) is used to achieve the system model and disturbances. In order to show the effectiveness of MEC, some simulation examples based on different perturbations are given.

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