Flatness-based Control and Conventional RST Polynomial Control of a Thermal Process

Gharsallaoui, Hajer; Ayadi, Mounir; Benrejeb, Mohamed; Borne, Pierre

doi:10.15837/ijccc.2009.1.2412

Cited by 16 publications

(20 citation statements)

References 8 publications

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“…This relation represents the Bezout equation already defined in the traditional approach of RST controller [13]. That proves that closedloop poles must be well optimized in order to satisfy the desired performances.…”

Section: Flatness-based Rst Controller Designmentioning

confidence: 80%

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Robust Flatness-based Multi-controllers Approach

Gharsallaoui¹,

Ayadi²,

Benrejeb³

et al. 2010

SIC

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Abstract:In this paper, a robust fault tolerant control reconfiguration is proposed. For identified models whose parameters change according to operating conditions, it is convenient to design a reconfiguration control strategy. This approach switches on-line the right controller to achieve the same performances for a given objective. This reconfiguration strategy is based on robust flatness-based switching control and developed in discrete-time framework in order to track a reference trajectory starting from a flat output variable. For each model, a corresponding flatness-based controller is designed and consequently, a multi-controller structure is obtained. The switching process is based on the minimization of a criterion. The performances obtained by switching in terms of tracking trajectory and disturbance fault rejection are discussed in this paper. The stability of the corresponding switched discrete-time linear systems is given.

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Section: Flatness-based Rst Controller Designmentioning

confidence: 80%

“…Consequently, it is necessary to design a device of anti-saturation according to the technique already developed in [15] and exploited in [13] where the control law has the following forms:…”

Section: Saturation Effectsmentioning

confidence: 99%

Robust Flatness-based Multi-controllers Approach

Gharsallaoui¹,

Ayadi²,

Benrejeb³

et al. 2010

SIC

Self Cite

View full text Add to dashboard Cite

show abstract

“…t 0 and t f are the two moments known in advance. The expression of Z d j (t) can be given as following [10] …”

Section: Trajectories Planningmentioning

confidence: 99%

“…In the discrete-time framework, the real output y j,k have asymptotically to track this such as (25), [10].…”

Section: Trajectories Planningmentioning

confidence: 99%

Robust flatness-based switching reconfiguration control using state flow machines of electronic throttle valve

2016

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Abstract. In this paper, a robust Fault Tolerant Control reconfiguration approach using State Flow Machines is proposed. Indeed, this reconfiguration strategy is based on robust flatness-based switching control using state machines and flow charts. This approach is developed in discrete time framework in order to track a reference trajectory starting from a flat output variable. For each model, a corresponding flatness-based controller is designed and consequently, a multi controller structure is obtained. The switching flatness-based control is based on switching between identified Operating Modes (OM) using state flow machines. The Luenberger observer's gains are determined using LMIs tools in order to identify the corresponding OM. The localization of the current OM is carried out by minimization of a performance test characterizing the distance between the system and the given OM. Study of the stability as well as the use of anti-windup devices related to switching between controllers have been considered in the proposed approach. The proposed approach is applied to the nonlinear system which is in our case of study an Electronic Throttle Valve (ETV) using state flow machines modeling.

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“…It is a two degree of freedom (2DOF) regulator, whose synthesis is notably algebraic based on pole placement method. The polynomial R and S leads to create a feedback control in order to become robust to uncertainties, whereas the polynomial T is injected in the feedforward to prove the tracking trajectory of reference [16]. Recently, RST controller is devised to induction motor [17] and PMSM [18] where the knowledge of the dynamic of the model of the physical system is necessary.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of a Digital Modified Internal Model Control and RST Regulators Applied on a Permanent Magnet Synchronous Machine (PMSM) Powered by Voltage Inverter

Khedri¹,

Souissi²

2018

IJEEI

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For control systems, nonlinearity, parameters variations and noise always represent a major disadvantage. Most classical control such that vector control, which stay the most frequently used and the most widespread, fail to reach high control performance under these conditions. In the present paper, an application of speed regulation to a permanent magnet synchronous machine (PMSM) where a modified internal model control and RST controllers are proposed. Both regulators are carried out under parameters variations and load disturbance. A comparative evaluation is conducted between the two controllers. Experimental results are satisfactory.

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Flatness-based Control and Conventional RST Polynomial Control of a Thermal Process

Cited by 16 publications

References 8 publications

Robust Flatness-based Multi-controllers Approach

Robust Flatness-based Multi-controllers Approach

Robust flatness-based switching reconfiguration control using state flow machines of electronic throttle valve

A Comparative Study of a Digital Modified Internal Model Control and RST Regulators Applied on a Permanent Magnet Synchronous Machine (PMSM) Powered by Voltage Inverter

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