scholarly journals Robust Control for Helicopters Performance Improvement: an LMI Approach

2020 ◽  
Author(s):  
Luiz Ricardo Trajano da Silva ◽  
Victor Augusto Fernandes de Campos ◽  
Alain Segundo Potts
Keyword(s):  
Linear Matrix ◽  
Linear Quadratic ◽  
Performance Requirements ◽  
Multiple Input ◽  
Polytopic Systems ◽  
And Performance ◽  
The Stability ◽  
Linearized Model ◽  
Multivariate Systems ◽  
Lmi Region

This paper presents an LMI (Linear Matrix Inequalities) application for the design of robust controllers for multivariate systems that have multiple points of operation. Some systems change their parameters along time, then, it is necessary to switch the control for different operational points. The purpose of this controller is to ensure the stability and performance requirements of the system for different operating points with the same controller. The method uses the following concepts of predefined structures controller, LMI region, and polytopic systems. To validate the controller a linearized model of a helicopter was used. These helicopters belong to a system class of MIMO (Multiple-Input Multiple Outputs) type and present a complex dynamic in their flight modes, therefore, due to these features, this type of helicopter is a good model to implement and test the efficiency of the described method in this work. The results were satisfactory. Some limitations in its implementation were found and discussed. An LQG (Linear-Quadratic-Gaussian) controller was also designed for the same model of the helicopter just for comparison. Analyzing the settling time properties, the LMI controller presented a better response than the LQG controller.

scholarly journals Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xuejuan Shao ◽  
Jinggang Zhang ◽  
Xueliang Zhang
Keyword(s):  
Linear Quadratic Regulator ◽  
Pso Algorithm ◽  
Fuzzy Modeling ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Overhead Crane ◽  
Linear Quadratic ◽  
Highly Nonlinear ◽  
The Stability ◽  
Takagi Sugeno

The dynamic model of overhead crane is highly nonlinear and uncertain. In this paper, Takagi-Sugeno (T-S) fuzzy modeling and PSO-based robust linear quadratic regulator (LQR) are proposed for anti-swing and positioning control of the system. First, on the basis of sector nonlinear theory, the two T-S fuzzy models are established by using the virtual control variables and approximate method. Then, considering the uncertainty of the model, robust LQR controllers with parallel distributed compensation (PDC) structure are designed. The feedback gain matrices are obtained by transforming the stability and robustness of the system into linear matrix inequalities (LMIs) problem. In addition, particle swarm optimization (PSO) algorithm is used to overcome the blindness of LQR weight matrix selection in the design process. The proposed control methods are simple, feasible, and robust. Finally, the numeral simulations are carried out to prove the effectiveness of the methods.

scholarly journals A Parametric Learning and Identification Based Robust Iterative Learning Control for Time Varying Delay Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Lun Zhai ◽  
Guohui Tian ◽  
Yan Li
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Delay Systems ◽  
Linear Matrix ◽  
Time Varying ◽  
Time Varying Delay ◽  
Multiple Input ◽  
And Performance ◽  
Varying Delay

A parametric learning based robust iterative learning control (ILC) scheme is applied to the time varying delay multiple-input and multiple-output (MIMO) linear systems. The convergence conditions are derived by using theH∞and linear matrix inequality (LMI) approaches, and the convergence speed is analyzed as well. A practical identification strategy is applied to optimize the learning laws and to improve the robustness and performance of the control system. Numerical simulations are illustrated to validate the above concepts.

Comparing LQG/LTR and the SDRE Techniques for Hybrid Fully-Connected PLL Network Control

2013 ◽  
Author(s):  
Átila Madureira Bueno ◽  
Angelo Marcelo Tusset ◽  
Diego Paolo Ferruzzo Correa ◽  
José Roberto Castilho Piqueira ◽  
José Manoel Balthazar
Keyword(s):  
Integrated Circuits ◽  
Network Control ◽  
Clock Signal ◽  
Clock Distribution ◽  
Signal Distribution ◽  
Performance Requirements ◽  
Distribution Process ◽  
And Performance ◽  
The Stability ◽  
Fully Connected

Synchronization plays an important role in telecommunication systems and integrated circuits. The Master-Slave is a commonly used strategy for clock signal distribution. However, due to the wireless networks development and the higher operation frequency of integrated circuits, the Mutually-Connected clock distribution strategies are becoming important, and the Fully-Connected strategy appears as a convenient engineering solution. The main drawback of the Fully-Connected architecture is the definition of control algorithms that assure the stability of the network sinchronization. In hybrid synchronization techniques groups of nodes synchronized by the Fully-Connected architecture are synchronized with network master clocks by using the Master-Slave tecnique. In this arrangement, if a route of clock signal distribution becomes inoperative, the group of Fully-Connected nodes retain for some time the original phase and frequency received from the network. The Fully-Connected architecture complexity imposes difficulties to satisfy both stability and performance requirements in the control system design. For that reason the multi-variable LQG/LTR and the SDRE control techniques are applied in order to fulfill both stability and performance requirements. The performance of both techniques are compared, and the results seems to confirm the improvement in the transient response and in the precision of the clock distribution process.

scholarly journals Event-Based Stabilization over Networks with Transmission Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Xiangyu Meng ◽  
Tongwen Chen
Keyword(s):  
Feedback Gain ◽  
Pendulum System ◽  
Transmission Delays ◽  
Performance Requirements ◽  
Inverted Pendulum System ◽  
Event Triggering ◽  
Continuous Feedback ◽  
And Performance ◽  
The Stability ◽  
Event Based

This paper investigates asymptotic stabilization for linear systems over networks based on event-driven communication. A new communication logic is proposed to reduce the feedback effort, which has some advantages over traditional ones with continuous feedback. Considering the effect of time-varying transmission delays, the criteria for the design of both the feedback gain and the event-triggering mechanism are derived to guarantee the stability and performance requirements. Finally, the proposed techniques are illustrated by an inverted pendulum system and a numerical example.

Linear M RAW Synthesis

2011 ◽  
Author(s):  
Luca Zaccarian ◽  
Andrew R. Teel
Keyword(s):  
Global Stability ◽  
Linear Matrix Inequalities ◽  
Linear Matrix ◽  
Feedback Signal ◽  
Regional Stability ◽  
Performance Properties ◽  
Response Recovery ◽  
And Performance ◽  
The Stability ◽  
Compensation Signal

This chapter deals with linear model recovery anti-windup (MRAW) synthesis. The MRAW structure permits recovering information about the unconstrained response, so that unconstrained response recovery is possible through the extra degree of freedom represented by the unspecified compensation signal. The stability and performance properties induced by MRAW on the closed loop depend on the choice of the feedback signal. In discussing linear MRAW synthesis, the chapter refers to suitable state–space representations of the plant and of the anti-windup compensator dynamics. It first considers anti-windup synthesis algorithms based on linear matrix inequalities (LMIs) for which global stability and performance are guaranteed before describing LMI-based synthesis algorithms for regional stability and performance.

scholarly journals A State of Art Survey for OS Performance Improvement

2018 ◽  
Vol 6 (3) ◽  
pp. 118-123 ◽  
Author(s):  
Lailan M. Haji ◽  
Subhi R.M. Zeebaree ◽  
Karwan Jacksi ◽  
Diyar Q. Zeebaree
Keyword(s):  
Performance Improvement ◽  
Critical Issue ◽  
The Past ◽  
Performance Requirements ◽  
And Performance ◽  
Measurement And Evaluation ◽  
The Stability ◽  
High Level ◽  
Multiple Metrics ◽  
Selection Of

Through the huge growth of heavy computing applications which require a high level of performance, it is observed that the interest of monitoring operating system performance has also demanded to be grown widely. In the past several years since OS performance has become a critical issue, many research studies have been produced to investigate and evaluate the stability status of OSs performance. This paper presents a survey of the most important and state of the art approaches and models to be used for performance measurement and evaluation. Furthermore, the research marks the capabilities of the performance-improvement of different operating systems using multiple metrics. The selection of metrics which will be used for monitoring the performance depends on monitoring goals and performance requirements. Many previous works related to this subject have been addressed, explained in details, and compared to highlight the top important features that will very beneficial to be depended for the best approach selection.

Sign in / Sign up

Export Citation Format

Share Document