IDENTIFICATION OF UNCERTAINTY FACTORS OF OPERATING CONDITIONS OF A ONE-CHANNEL ATTITUDE CONTROL SYSTEM

2020 ◽  
pp. 3-10
Author(s):  
I. S. Kikin
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Measurement Errors ◽  
Observation Interval ◽  
Measurement Data ◽  
Operating Conditions ◽  
Identification Algorithm ◽  
State Variables ◽  
Uncertainty Factors ◽  
Disturbance Torque

A version of simulated mathematical model (SMM) of a one-channel attitude automatic control system (ACS) for a platform based on an angular velocity sensor (AVS) is presented that is capable to identify random factors defining conditions of ACS functioning: disturbance torque acting on the platform and initial measurement errors (additive and multiplicative AVS errors). Values of above-listed uncertainty factors of measurement data and external inputs on the observation interval are set as random numbers that stay constant on this interval. The presented model version allows to determine with high fidelity the temporal evolution of measurement errors of the platform state variables on the observation interval. The purpose of the parametrical identification algorithm – creating such a sequence of trial values of AVS errors to be found that would provide extremum adjustment of the identification performance functional. In the designed ACS model an estimate of the disturbance torque acting on the platform is calculated by the end of the above mentioned search. Thus the task of identification of all random parameters defining the conditions of the ACS is completed.

AUTONOMOUS CORRECTION OF A SINGLE-CHANNEL INERTIAL CONTROL SYSTEM

2020 ◽  
pp. 3-12
Author(s):  
I. S. Kikin
Keyword(s):  
Control System ◽  
Measurement Errors ◽  
Single Channel ◽  
Observation Interval ◽  
Operating Conditions ◽  
Sources Of Information ◽  
Disturbing Force ◽  
External Sources ◽  
Inertial Control ◽  
Posteriori Estimation

The problem of algorithmic design of the system of inertial control of a moving object is considered, in which the compensation of number errors caused by errors of accelerometers without external sources of information about the navigation elements of the object is carried out. The principle of solving the problem is demonstrated on the model of a single-channel positional inertial control system. Algorithms of instantaneous a posteriori estimation of calculated variables are investigated, which allow to obtain estimates that are invariant to measurement errors, and to correct the inertial control channel without an external positioning system. For the operating conditions of the system, under which the values of measurement errors and the disturbing force are represented by random numbers that preserve constant values over the observation interval, estimates of the calculated variables corresponding to almost complete compensation of the calculation errors are obtained.

Transient Analysis of PEM Fuel Cell for Hybrid Vehicle Application

2005 ◽  
Author(s):  
Ivan Arsie ◽  
Alfonso Di Domenico ◽  
Cesare Pianese ◽  
Marco Sorrentino
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Hybrid Vehicle ◽  
Cell System ◽  
Proton Exchange ◽  
Operating Conditions ◽  
State Variables ◽  
Accurate Analysis ◽  
Energy Flows

The paper focuses on the simulation of a hybrid vehicle with proton exchange membrane fuel cell as the main energy conversion system. A modeling structure has been developed to perform accurate analysis for powertrain and control system design. The models simulate the dynamics of the main powertrain elements and fuel cell system to give a sufficient description of the complex interaction between each component under real operating conditions. A control system based on a multi-level scheme has also been introduced and the complexity of control issues for hybrid powertrains have been discussed. Such a study has been performed to analyze the energy flows among the powertrain components. The results highlight that optimizing these systems is not a trivial task and the use of precise models can improve the powertrain development process. Furthermore, the behavior of system state variables and the influence of control actions on fuel cell operation have also been analyzed. Particularly, the effects of the introduction of a rate limiter on the stack power have been investigated, evidencing that a 2 kW/s rate limiter increased the system efficiency by 10% while reducing the dynamic performances of the powertrain in terms of speed error (i.e. 25 %).

Modeling, System Identification and Linearization of Underwater Turbine Power Plant Dynamics

2015 ◽  
Author(s):  
Vasileios Tzelepis ◽  
James H. VanZwieten ◽  
Nikolaos I. Xiros ◽  
Cornel Sultan
Keyword(s):  
Control System ◽  
System Identification ◽  
System Development ◽  
Operating Conditions ◽  
Ocean Current ◽  
State Variables ◽  
Stepping Stones ◽  
Nonlinear Dynamical ◽  
Test Input ◽  
Plant Dynamics

A suite of nonlinear dynamical simulations of in-stream hydrokinetic devices has been developed and this paper discussed the linearization of these models for control system development. One of these numerical simulations represents a small 3 meter rotor diameter, 35 kW turbine with fixed pitch blades, and the other a 20 meter, 700 kW turbine with variable pitch blades. Each turbine simulation can be operated to represent a bottom mounted tidal turbine or a moored ocean current turbine. These nonlinear dynamical models can serve as stepping stones toward control system design using linear or nonlinear, time or frequency-domain methodologies. A common step further toward controller synthesis is to obtain linearized models of the system dynamics. Towards this end, two linearization techniques are presented. The first is based straightforward analytical and numerical linearization of the full nonlinear state-space equations of the plant; this method has been applied for the underwater flight dynamics of the 700 kW plant. The second is a phenomenological system identification approach consisting of data analysis performed on time series obtained through simulations; it has been used to model the system of systems in the case of the 35 kW plant. In the first approach, the linearized model is valid for specific operating conditions around equilibrium values of the state variables. In the second approach, the plant dynamical model is used as a black-box in order to obtain the simulated response of the system to a variety of test input signals, like e.g. sinusoids of relatively small amplitudes and various frequencies superimposed to steady-state offsets; in effect, a phenomenological model is derived describing the plant dynamics. The outcomes of both approaches are assessed and several conclusions are drawn from the analysis.

scholarly journals Evolved Fuzzy Control System for a Steam Generator

2010 ◽  
Vol 5 (2) ◽  
pp. 179 ◽  
Author(s):  
Daniela Hossu ◽  
Ioana Făgărășan ◽  
Andrei Hossu ◽  
Sergiu St. Iliescu
Keyword(s):  
Control System ◽  
Water Level ◽  
Steam Generator ◽  
Measurement Errors ◽  
Nuclear Power ◽  
Power Plants ◽  
Fuzzy Model ◽  
Operating Conditions ◽  
Steam Generators ◽  
Control Approach

Poor control of steam generator water level is the main cause of unexpected shutdowns in nuclear power plants. Particularly at low powers, it is a difficult task due to shrink and swell phenomena and flow measurement errors. In addition, the steam generator is a highly complex, nonlinear and time-varying system and its parameters vary with operating conditions. Therefore, there is a need to systematically investigate the problem of controlling the water level in the steam generator in order to prevent such costly reactor shutdowns. The objective of this paper is to design, evaluate and implement a water level controller for steam generators based on a fuzzy model predictive control approach. An original concept of modular evolved control system, seamless and with gradual integration into the existent control system is proposed as base of implementation of the presented system.

scholarly journals INNOSAT ATTITUDE CONTROL SYSTEM BASED ON ADAPTIVE NEURO-CONTROLLER

2011 ◽  
Author(s):  
Siti Maryam Sharun ◽  
Mohd Yusoff Mashor ◽  
Norhayati Mohd Nazid ◽  
Sazali Yaacob ◽  
Wan Nurhadani Wan Jaafar
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Reference Model ◽  
Operating Conditions ◽  
Least Square ◽  
Recursive Least Square ◽  
Attitude Control System ◽  
Model Reference ◽  
Mlp Network ◽  
Neuro Controller

The current research focuses on the designing of an intelligent controller for the Attitude Control System (ACS) of the Innovative Satellite (InnoSAT). The InnoSAT mission is to demonstrate local innovative space technology amongst the institutions of higher learning in the space sector. In this study, an Adaptive Neuro-controller (ANC) based on the Hybrid Multi Layered Perceptron (HMLP) network has been developed. The Model Reference Adaptive Control (MRAC) system is used as a control scheme to control a time varying systems where the performance specifications are given in terms of a reference model. The Weighted Recursive Least Square (WRLS) algorithm will adjust the controller parameters to minimize error between the plant output and the model reference output. The objective of this paper is to analyse the time response and the tracking performance of the ANC based on the HMLP network and the ANC based on the standard MLP network for controlling an InnoSAT attitude. These controllers have been tested using an InnoSAT model with some variations in operating conditions such as varying gain, measurement noise and disturbance torques. The simulation results indicated that the the ANC based on the HMLP network is adequate to control satellite attitude and give better results than the ANC based on the MLP network.  

Modeling and Analysis of Transient Behavior of Polymer Electrolyte Membrane Fuel Cell Hybrid Vehicles

2006 ◽  
Vol 4 (3) ◽  
pp. 261-271 ◽  
Author(s):  
Ivan Arsie ◽  
Alfonso Di Domenico ◽  
Cesare Pianese ◽  
Marco Sorrentino
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Dynamic Performance ◽  
Transient Behavior ◽  
Cell System ◽  
Proton Exchange ◽  
Operating Conditions ◽  
State Variables ◽  
Accurate Analysis

The paper focuses on the simulation of a hybrid vehicle with proton exchange membrane fuel cell as the main energy conversion system. A modeling structure has been developed to perform accurate analysis for powertrain and control system design. The models simulate the dynamics of the main powertrain elements and fuel cell system to give a sufficient description of the complex interaction between each component under real operating conditions. A control system based on a multilevel scheme has also been introduced and the complexity of control issues for hybrid powertrains have been discussed. This study has been performed to analyze the energy flows among powertrain components. The results highlight that optimizing these systems is not a trivial task and the use of precise models can improve the powertrain development process. Furthermore, the behavior of system state variables and the influence of control actions on fuel cell operation have also been analyzed. In particular, the effect of introducing a rate limiter on the stack power has been investigated, evidencing that a 2kW∕s rate limiter increased the system efficiency by 10% while reducing the dynamic performance of the powertrain in terms of speed error.

Double Fail-Safe Attitude Control System for Artificial Meteor Microsatellite ALE-1

2021 ◽  
Vol 19 (1) ◽  
pp. 9-16
Author(s):  
Shinya FUJITA ◽  
Yuji SATO ◽  
Toshinori KUWAHARA ◽  
Yuji SAKAMOTO ◽  
Yoshihiko SHIBUYA ◽  
...  
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Attitude Control System ◽  
Fail Safe

Integrated power/attitude control system /IPACS/

1974 ◽  
Author(s):  
J. NOTTI ◽  
A. CORMACK, III ◽  
W. KLEIN
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Attitude Control System
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