Advanced Model-Based Disturbance Compensation Control Using Proportional-Integral-Observer

2005 ◽  
Author(s):  
Idriz Krajcin ◽  
Dirk So¨ffker
Keyword(s):  
State Feedback ◽  
Dynamical Behavior ◽  
State Feedback Control ◽  
Disturbance Compensation ◽  
Proportional Integral ◽  
Compensation Control ◽  
Model Based ◽  
Simulation Results ◽  
And Control ◽  
Advanced Model

This contribution presents a state feedback control and a new disturbance compensation method using the Proportional-Integral-Observer (PI-Observer). For a suitable class of systems the observer estimates the unmeasured states as well as unknown inputs acting on a structure using a small number of measurements. Here, the observer is applied to elastic structures where the PI-Observer can be used for model-based diagnosis and control. An extended disturbance compensation is proposed to improve the dynamical behavior, to decouple the effect of disturbances on defined outputs using the PI-Observer. The observer and the control are applied to an all side clamped elastic plate. The performance of the control is illustrated by simulation results.

Context-driven monitoring and control of buildings ventilation systems using big data and Internet of Things–based technologies

2018 ◽  
Vol 233 (3) ◽  
pp. 276-288 ◽  
Author(s):  
Fadwa Lachhab ◽  
Mohamed Bakhouya ◽  
Radouane Ouladsine ◽  
Mohammed Essaaidi
Keyword(s):  
Big Data ◽  
Feedback Control ◽  
Internet Of Things ◽  
State Feedback ◽  
State Feedback Control ◽  
Proportional Integral Derivative ◽  
Monitoring And Control ◽  
Proportional Integral ◽  
And Control ◽  
Ventilation Systems

Ventilation systems are deployed in buildings to maintain good indoor air quality, especially in specific periods, or in the absence of buildings’ windows. These systems perform automatically this task by regulating the injected air according to the actual indoor CO2 concentration. Several control approaches have been implemented and deployed in real-setting scenarios, but most of them are either time-triggered or based on fixed threshold values. In this paper, we introduce a platform that integrates recent advanced Internet of Things and big-data technologies for context-driven monitoring and control of ventilation systems. The aim is to gather, process and extract contextual data, mainly indoor/outdoor CO2 concentration, to be used for maintaining a suitable ventilation rate that balances between energy consumption and occupants’ well-being. A prototype was developed and deployed for conducting experiments of different ventilation control approaches. We have developed two control approaches, ON/OFF and proportional–integral–derivative control, and compared them with the proposed state-feedback control approach. Experiments have been conducted in our Energy-Efficient Building Laboratory to evaluate these approaches in terms of the indoor CO2 concentration, the ventilation rates, and the power consumption. The experimental results show that the state-feedback control outperforms proportional–integral–derivative and ON/OFF control approaches in terms of energy efficiency and comfort.

GENERATING HYPERCHAOTIC ATTRACTORS WITH THREE POSITIVE LYAPUNOV EXPONENTS VIA STATE FEEDBACK CONTROL

2009 ◽  
Vol 19 (02) ◽  
pp. 651-660 ◽  
Author(s):  
GUOSI HU
Keyword(s):  
Lyapunov Exponents ◽  
State Feedback ◽  
Electronic Circuit ◽  
Three Dimensional ◽  
State Feedback Control ◽  
Hyperchaotic System ◽  
Lorenz Chaotic System ◽  
Simulation Results ◽  
New Hyperchaotic System ◽  
Good Agreement

This letter presents a new hyperchaotic system, which was obtained by adding a nonlinear quadratic controller to the first equation and a linear controller to the second equation of the three-dimensional autonomous modified Lorenz chaotic system. This system uses only two multipliers but can generate very complex strange attractors with three positive Lyapunov exponents. The system is not only demonstrated by numerical simulations but also implemented via an electronic circuit, showing very good agreement with the simulation results.

scholarly journals Optimisation of dynamic quantisation and control for quantised state feedback control system

2020 ◽  
Vol 2020 (7) ◽  
pp. 251-258
Author(s):  
Than Zaw Soe ◽  
Tadanao Zanma ◽  
Atsuki Tokunaga ◽  
Kenta Koiwa ◽  
Kang Zhi Liu
Keyword(s):  
Control System ◽  
Feedback Control ◽  
State Feedback ◽  
State Feedback Control ◽  
Feedback Control System ◽  
And Control

scholarly journals Output Regulation of the Pan System

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
V. Sundarapandian
Keyword(s):  
Feedback Control ◽  
Secure Communication ◽  
State Feedback ◽  
Three Dimensional ◽  
Output Regulation ◽  
State Feedback Control ◽  
Chaotic Attractors ◽  
Control Laws ◽  
Potential Applications ◽  
Simulation Results

We solve the problem of regulating the output of the Pan system (2010), which is one of the recently discovered three-dimensional chaotic attractors. Pan system has many interesting complex dynamical behaviours, and it has potential applications in secure communication. In this paper, we construct explicit state feedback control laws for regulating the output of the Pan system so as to track constant reference signals. The state feedback control laws are derived using the regulator equations of Byrnes and Isidori (1990). The simulation results are provided to illustrate the effectiveness of the regulation schemes derived for the output regulation of the Pan system.

Output Regulation of the Liu Chaotic System

2011 ◽  
Vol 110-116 ◽  
pp. 3982-3989 ◽  
Author(s):  
Vaidyanathan Sundarapandian
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Chaotic System ◽  
State Feedback ◽  
Output Regulation ◽  
State Feedback Control ◽  
Nonlinear Control Systems ◽  
Control Laws ◽  
Reference Signals ◽  
Simulation Results

This paper investigates the problem of regulating the output of the Liu chaotic system (2004). Explicitly, we construct state feedback control laws to regulate the Liu chaotic system so as to track constant reference signals. The control laws are derived using the regulator equations of Byrnes and Isidori (1990), who have solved the output regulation of nonlinear control systems using neutrally stable exosystem dynamics. The simulation results are also discussed in detail.

Sign in / Sign up

Export Citation Format

Share Document