Cyril Belavy

Adaptive control design for vehicle suspension

This paper addresses the adaptive control design of a semi-active suspension system. The control system is focused on the driving comfort criteria. For this purpose, it is necessary to emphasize on modeling and connection between vehicle suspension system components. On the other hand, we will compare the obtained results using the designed adaptive control system with the optimal control design applying soft and hard suspension. Moreover, a hydro-pulse will be used for road vibration simulation purposes. In this case, the analysis has been performed over the frequency bandwidth 4-20 Hz considering a constant vehicle speed 80 km/h.

Robust Control of Distributed Parameter Systems with Demonstration in Casting Technology and MATLAB/Simulink/DPS Blockset Software Support

© 2012 Belavý et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Robust Control of Distributed Parameter Systems with Demonstration in Casting Technology and MATLAB/Simulink/DPS Blockset Software Support

Control of Distributed Parameter Systems - Engineering Methods and Software Support in the MATLAB & Simulink Programming Environment

Distributed parameter systems (DPS) are systems with state/output quantities X(x,t) /Y(x,t) – parameters which are defined as quantity fields or infinite dimensional quantities distributed through geometric space, where x – in general is a vector of the three dimensional Euclidean space. Thanks to the development of information technology and numerical methods, engineering practice is lately modelling a wide range of phenomena and processes in virtual software environments for numerical dynamical analysis purposes such as ANSYS www.ansys.com, FLUENT (ANSYS Polyflow) www.fluent.com , ProCAST www.esi-group.com/products/casting/, COMPUPLAST – www.compuplast.com, SYSWELD – www.esi-group.com/products/welding, COMSOL Multiphysics www.comsol.com, MODFLOW, MODPATH,... www.modflow.com , STAR-CD www.cd-adapco.com, MOLDFLOW www.moldflow.com, ... Based on the numerical solution of the underlying partial differential equations (PDE) these virtual software environments offer colorful, animated results in 3D. Numerical dynamic analysis problems are solved both for technical and non-technical disciplines given by numerical models defined in complex 3D shapes. From the viewpoint of systems and control theory these dynamical models represent DPS. A new challenge emerges for the control engineering practice, which is the objective to formulate control problems for dynamical systems defined as DPS through numerical structures over complex spatial structures in 3D. The main emphasis of this chapter is to present a philosophy of the engineering approach for the control of DPS given by numerical structures, which opens a wide space for novel applications of the toolboxes and blocksets of the MATLAB & Simulink software environment presented here.

From stochasticism to determinism in evaluation of human postural responses

The Center of Pressure (COP) signal is a kind of human postural response and it is an established indicator of human ability to maintain balanced posture. Its form of the statokinesigram has complicated profile, which suggests stochastic or chaotic nature of COP movement. Here is presented developed statokinesigram trajectory (DST) as a basis of method for human postural response analysis. Since DST does not show signs of stochastic behavior it is suitable for modeling with help of linear system theory. In this study, volunteers postural responses were affected by bilateral vibration stimuli of Achilles tendons. This vibration stimulus causes nonlinear response in anterior-posterior direction. DST allows to analyze this phenomenon through mathematical model in form of a transfer function. Its estimated parameters are useful in evaluation of human posture control.

PLC control of casting die preheating process as distributed parameter system

In the paper a problem of casting die preheating control is solved. Concept of the control is designed based on distributed parameters systems. The design of the control structures are created within simulation studies, afterwards are connected into co-simulation regime network to tune the control parameters and then applied to control of preheating using PLC.

Control of the preheating of a casting mould as a distributed parameter system by PLC

This paper deals with the control of the preheating process of a casting mould formulated as a distributed parameter system and using a programmable logic controller (PLC). The control process is first optimized by a simulation procedure using a distributed parameter control loop. The temporal part of the control synthesis is implemented on the PLC in order to control the preheating of the casting mould. A controlled preheating process is demonstrated on the experimental casting mould with embedded sensors and actuators.

Robust control of temperature field in continuous casting process as distributed parameter systems

In the paper, the robust control of temperature fields in the secondary cooling zone of the continuous casting process is presented. Temperature fields are represented by dynamic models in the form of a finite-dimensional approximation of distributed parameter systems. Models are created by means of validated finite element method modelling. The control synthesis is decomposed to the time and space domain. For the control synthesis with internal model control structure in the time domain, an uncertainty of the controlled system is considered and robust controllers are designed.

IMC based robust controller design for distributed parameter systems

In the paper, the robust control of temperature fields of the casting mould in the benchmark casting plant is presented. Temperature fields of the mould are represented by dynamic models in the form of a finite-dimensional approximation of distributed parameter systems. Models are created by means of an experimental identification. The control synthesis is decomposed to the time and space domain. For the control synthesis with internal model control structure in the time domain, an uncertainty of the controlled system is considered and robust controllers are designed.

FEM based modelling and PID controllers design for a class of distributed parameter systems

In the paper models of distributed parameter systems in the form of lumped-input/distributed-output systems are introduced and modelling of temperature fields of a melting glass process by using of finite element method in software Environment COMSOL Multiphysics is presented. Obtained distributed characteristics are exported to the MATLAB & Simulink, where lumped and distributed models for control synthesis purpose are created. By means of Distributed Parameter Systems Blockset for MATLAB & Simulink, feedback distributed parameter system of control is arranged, where for chosen PID control synthesis method, simulation of control process of temperature field of melting glass is executed and analyzed.