Control algorithms for discrete delayed systems with unknown inputs and model parameters using nonparametric technique

2017 ◽  
Author(s):  
Valery I. Smagin ◽  
Gennady M. Koshkin ◽  
Konstantin S. Kim
Keyword(s):  
Control Algorithms ◽  
Model Parameters ◽  
Delayed Systems ◽  
Unknown Inputs

Comparison of Analytical and Empirical Models to Capture Variations in Off-Road Vehicle Dynamics

2005 ◽  
Author(s):  
Paul J. Pearson ◽  
David M. Bevly
Keyword(s):  
Empirical Data ◽  
Vehicle Dynamics ◽  
Experimental Validation ◽  
Inertial Sensors ◽  
Analytical Models ◽  
Control Algorithms ◽  
Model Parameters ◽  
Steering Control ◽  
Steering Angle ◽  
Yaw Rate

This paper develops two analytical models that describe the yaw dynamics of a farm tractor and can be used to design or improve steering control algorithms for the tractor. These models are verified against empirical data. The particular dynamics described are the motions from steering angle to yaw rate. A John Deere 8420 tractor, outfitted with inertial sensors and controlled through a PC-104 form factor computer, was used for experimental validation. Conditions including different implements at varying depths, as would normally be found on a farm, were tested. This paper presents the development of the analytical models, validates them against empirical data, and gives trends on how the model parameters change for different configurations.

Frequency Shaped Semi-Active Control for Magnetorheological Fluid-Based Vibration Control Systems

2013 ◽  
Author(s):  
Young-Tai Choi ◽  
Norman M. Wereley ◽  
Gregory J. Hiemenz
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Active Control ◽  
Control Algorithm ◽  
Active Vibration Control ◽  
Control Algorithms ◽  
Model Parameters ◽  
Mr Fluid ◽  
Control Current ◽  
Active Vibration

Novel semi-active vibration controllers are developed in this study for magnetorheological (MR) fluid-based vibration control systems, including: (1) a band-pass frequency shaped semi-active control algorithm, (2) a narrow-band frequency shaped semi-active control algorithm. These semi-active vibration control algorithms designed without resorting to the implementation of an active vibration control algorithms upon which is superposed the energy dissipation constraint. These new Frequency Shaped Semi-active Control (FSSC) algorithms require neither an accurate damper (or actuator) model, nor system identification of damper model parameters for determining control current input. In the design procedure for the FSSC algorithms, the semi-active MR damper is not treated as an active force producing actuator, but rather is treated in the design process as a semi-active dissipative device. The control signal from the FSSC algorithms is a control current, and not a control force as is typically done for active controllers. In this study, two FSSC algorithms are formulated and performance of each is assessed via simulation. Performance of the FSSC vibration controllers is evaluated using a single-degree-of-freedom (DOF) MR fluid-based engine mount system. To better understand the control characteristics and advantages of the two FSSC algorithms, the vibration mitigation performance of a semi-active skyhook control algorithm, which is the classical semi-active controller used in base excitation problems, is compared to the two FSSC algorithms.

Robust model predictive control synthesis for state-delayed systems with randomly occurring input saturation nonlinearities

2016 ◽  
Vol 40 (1) ◽  
pp. 179-190 ◽  
Author(s):  
Langwen Zhang ◽  
Wei Xie ◽  
Zhaozhun Zhong ◽  
Jingcheng Wang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
State Feedback ◽  
Controller Design ◽  
Input Saturation ◽  
Time Instant ◽  
Control Synthesis ◽  
Linear Matrix ◽  
Model Parameters ◽  
Delayed Systems

In this paper, a model predictive control algorithm is presented for linear parameter varying systems with both state delays and randomly occurring input saturation. The input saturation is assumed to be occurred randomly with Bernoulli-distributed white sequences. A constant sate feedback law is designed at each time instant to ensure the robust stability of the closed-loop system with respect to polytopic uncertainties. The optimization of model predictive controller is cast into solving a linear matrix inequalities optimization problem. Then, the results are extended to gain-scheduled approach in which a set of state feedback laws are designed for each vertex of the system model. The state feedback law is scheduled by the time varying model parameters to achieve less conservatism in controller design. Finally, two examples are employed to show the effectiveness of the proposed algorithms.

Modeling, Parameter Identification and Thruster-Assisted Position Mooring of C/S Inocean Cat I Drillship

2017 ◽  
Author(s):  
Jon Bjørnø ◽  
Hans-Martin Heyn ◽  
Roger Skjetne ◽  
Andreas R. Dahl ◽  
Preben Frederich
Keyword(s):  
Parameter Identification ◽  
Control Algorithm ◽  
State Of The Art ◽  
Control Algorithms ◽  
Model Parameters ◽  
Mooring System ◽  
Environmental Loads ◽  
Control Functions ◽  
Vessel Motion ◽  
And Control

A thruster-assisted position mooring (TAPM) system includes different control functions for stationkeeping and motion damping for a moored offshore vessel with assist from thrusters. It consists of a conventional mooring system and a dynamic positioning (DP) system. The thrusters are used to provide damping and some restoring to the vessel motion and compensate if line breakage occurs. The mooring system absorbs the main loads to keep the vessel in place. This paper presents a complete modeling, parameter identification, and control design for a 1:90 scaled TAPM model vessel. The numerical values for the different model parameters are identified from towing tests. State-of-the-art TAPM control algorithms have been tested on the vessel in the Marine Control Laboratory (MC Lab), to see the behavior resulting from the different control algorithms. The presented experiments focus on the setpoint chasing algorithm, where the position setpoint slowly moves to the equilibrium position where the environmental loads are balanced by the mooring loads. This avoids conflicts between the mooring system and the control actions. If the environmental loads are too large so that the setpoint exceeds a user-defined safety radius, the setpoint is set to this radius and thruster forces grow to support the mooring system in counteracting the environmental loads to avoid line breakage. The experiments show that the vessel and setpoint chasing control algorithm behaves as expected, minimizing thruster usage and maximizing utilization of mooring system.

Experimental Parameter Identification of a Time Delayed Oscillator

2005 ◽  
Author(s):  
Brian P. Mann ◽  
Keith A. Young ◽  
Amy M. Helvey ◽  
Raul E. Zapata
Keyword(s):  
Parameter Identification ◽  
Experimental Parameter ◽  
Parametric Identification ◽  
Model Parameters ◽  
Element Analysis ◽  
Delayed Systems ◽  
Infinite Dimensional ◽  
Novel Approach ◽  
Dimensional Phase Space ◽  
The Stability

This paper departs from the more traditional focus of systems with time delays — the loss of stability — to examine an intrinsic benefit of time-delayed systems and a novel approach for parametric identification. For instance, it is well-known that the presence of a time delay will result in an infinite dimensional phase space and can compromise the stability characteristics of a dynamical system. This paper explores the utilization the system higher dimensional transients to provide benefit to the common problem of system identification. Observations are first made about which experimental milling tests can be utilized for parameter identification. A model for the milling experiment is then introduced and a temporal finite element analysis is performed to transform the original delay equations into the form of a dynamic map. Experimental data is then examined with empirical Floquet theory and principal orthogonal decomposition to estimate the reduced order dynamics, or truncated state space dimension, and to identify the empirical Floquet multipliers of the system. Parametric identification is performed through the optimization of model parameters that satisfy the characteristic equation.

Automated Multi-Zone Linear Parametric Black Box Modeling Approach for Building HVAC Systems

2015 ◽  
Author(s):  
Rohit H. Chintala ◽  
Bryan P. Rasmussen
Keyword(s):  
Large Scale ◽  
Model Development ◽  
Hvac Systems ◽  
Black Box ◽  
Modeling Method ◽  
Distributed Model ◽  
Control Algorithms ◽  
Model Parameters ◽  
Distributed Model Predictive Control ◽  
Automated Method

Optimal control algorithms such as distributed model predictive control (DMPC) offer tremendous potential in reducing energy consumption of building operations. Heating, ventilation and air-conditioning (HVAC) systems which form a major part of the building operations contain a large number of interconnected subsystems. One of the challenges associated with implementing DMPC is the development of reliable models of individual subsystems for prediction, especially for large scale systems. In this paper an automated method is proposed to develop linear parametric black box models for individual building HVAC subsystems. The modeling method proposed identifies the significant inputs, and the upstream and downstream neighbors of each subsystem before performing regression analysis to determine the model parameters. Automation of the model development makes the implementation of the model-based control algorithms much more feasible. The modeling method is then verified through an EnergyPLus model, and using data of a real office building.

A Research on Superheater Mechanism Model of Intelligent Optimization Based on Spot Data

2014 ◽  
Vol 986-987 ◽  
pp. 1019-1022
Author(s):  
Chang Liang Liu ◽  
Meng Ni
Keyword(s):  
Control Algorithms ◽  
Model Parameters ◽  
Mechanism Analysis ◽  
Nonlinear Parameters ◽  
Mechanism Model ◽  
Advanced Control ◽  
Reference Design ◽  
Object Of Study ◽  
Main Steam ◽  
Site Training

In order to solve the problems of strong coupling and nonlinear parameters of superheater model, in this paper, we aimed at a 600MW subcritical drum boiler high temperature superheater as the object of study .On the basis of mechanism analysis and its dynamic characteristics I built a dynamic model of high superheater contains 9 typical working conditions .I optimized the model parameters by using field data. A continuous nonlinear model is obtained by curve fitting. The simulation results show that superheater model built by this method can better simulate the field characteristic. This model provides a reference design of automatic control system of main steam temperature .This paper aims to provide the basis for the application of advanced control algorithms in the field. Furthermore, this model can provide higher accuracy for on-site training to improve training effect.

scholarly journals On-Line Estimation of the Ultrasonic Power in a Continuous Flow Sonochemical Reactor

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2952
Author(s):  
Witold Ilewicz ◽  
Piotr Skupin ◽  
Dariusz Choiński ◽  
Wojciech Błotnicki ◽  
Zdzisław Bielecki
Keyword(s):  
Mathematical Model ◽  
Optimal Design ◽  
Continuous Flow ◽  
Control Algorithms ◽  
Model Parameters ◽  
Ultrasonic Power ◽  
Input And Output ◽  
Chemical Pollutants ◽  
On Line ◽  
Power Stabilization

Sonochemical reactors can be very effective in many applications, including: degradation of chemical pollutants, inactivation of microorganisms, or production of biofuels. However, due to various factors, the ultrasonic power that is dissipated into sonicated liquid may vary in time. Hence, it is obvious that the ultrasonic power must be known for an optimal design and operation of the sonoreactor. In this paper, we present a method for on-line estimation of the ultrasonic power in continuous flow sonoreactors. In this method, we design an observer that estimates unknown model parameters by using a mathematical model of the sonoreactor and by measuring input and output temperatures in the sonoreactor system. The effectiveness of the method is shown for a simulated and real continuous flow sonoreactors. We also discuss the possibilities of ultrasonic power stabilization by using control algorithms.

Instrumental and Ideological Union Commitment: Longitudinal Assessment of Construct Validity

2001 ◽  
Vol 17 (2) ◽  
pp. 98-111 ◽  
Author(s):  
Anders Sjöberg ◽  
Magnus Sverke
Keyword(s):  
Construct Validity ◽  
Temporal Stability ◽  
Strong Support ◽  
Internal Consistency Reliability ◽  
Measurement Model ◽  
Two Dimensions ◽  
Model Parameters ◽  
Longitudinal Assessment ◽  
Union Commitment ◽  
Union Participation

Summary: Previous research has identified instrumentality and ideology as important aspects of member attachment to labor unions. The present study evaluated the construct validity of a scale designed to reflect the two dimensions of instrumental and ideological union commitment using a sample of 1170 Swedish blue-collar union members. Longitudinal data were used to test seven propositions referring to the dimensionality, internal consistency reliability, and temporal stability of the scale as well as postulated group differences in union participation to which the scale should be sensitive. Support for the hypothesized factor structure of the scale and for adequate reliabilities of the dimensions was obtained and was also replicated 18 months later. Tests for equality of measurement model parameters and test-retest correlations indicated support for the temporal stability of the scale. In addition, the results were consistent with most of the predicted differences between groups characterized by different patterns of change/stability in union participation status. The study provides strong support for the construct validity of the scale and indicates that it can be used in future theory testing on instrumental and ideological union commitment.

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