scholarly journals Modeling of a Leg and Knee System for the Analysis of Human Gait by Means of State Feedback Control

2020 ◽  
Author(s):  
P.A. Ospina-Henao ◽  
César H. Valencia ◽  
Marcelo Becker ◽  
Zuly A. Mora P ◽  
S.M. Vásquez
Keyword(s):  
Feedback Control ◽  
State Space ◽  
State Feedback ◽  
Equations Of Motion ◽  
Classical Mechanics ◽  
State Feedback Control ◽  
Human Gait ◽  
Modeling Simulation ◽  
Simulation And Control ◽  
And Control

This paper presents the modeling, simulation and control of a human gait system, which consists of the modeling of a leg by means of Euler’s classical mechanics and Lagrange’s formalism, where the equations of motion of the joint are obtained both of the hip as of the knee and the solution of these. In addition, a state feedback control was implemented and the controller gains were determined by means of the Ackerman formula, based on the equations of motion rewritten in state space and simulated in simulink, where the behavior of the system can be observed with control.

scholarly journals A Systematic Controller Design for a Photovoltaic Generator with Boost Converter Using Integral State Feedback Control

2019 ◽  
Vol 9 (2) ◽  
pp. 4030-4036 ◽  
Author(s):  
Z. R. Labidi ◽  
H. Schulte ◽  
A. Mami
Keyword(s):  
Feedback Control ◽  
State Space ◽  
State Feedback ◽  
Controller Design ◽  
State Space Model ◽  
Boost Converter ◽  
State Feedback Control ◽  
Solar Irradiation ◽  
Photovoltaic Array ◽  
Pv Generator

In this paper, a systematic controller design for a photovoltaic generator with boost converter using integral state feedback control is proposed. It is demonstrated that the state–space feedback enables the extraction of maximum available power under variable loads. For this purpose, a control-oriented state-space model of a photovoltaic array connected to a DC load by a boost converter is derived. This model is then linearized by one working point, but no further simplifications are made. The design-oriented model contains the dynamics of PV generator, boost converter, and the load. The controller design is based on the augmented model with an integral component. The controller is validated by a detailed plant model implemented in Simscape. The robustness of the controller with variable solar irradiation and DC load changes is demonstrated.

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

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.

Sign in / Sign up

Export Citation Format

Share Document