Set-valued estimation of switching linear system: an application to an automotive throttle valve

This paper introduces a polyhedral approximation algorithm for set-valued estimation of switching linear systems. The algorithm generates set-valued estimates for any possible sequence of switching parameters, under the assumption that the system has unknown but bounded disturbances and measurement noises. Our algorithm has practical implications; namely, set-valued estimates were generated for the position and electrical current of a real-time automotive electronic throttle valve, and the corresponding experimental data demonstrate the practical benefits of our approach.Postprint (author's final draft

Electronic Throttle Valve Takagi-Sugeno Fuzzy Control Based on Nonlinear Unknown Input Observers

This paper deals with the synthesis of a new fuzzy controller applied to Electronic Throttle Valve (ETV) affected by an unknown input in order to enhance the rapidity and accuracy of trajectory tracking performance. Firstly, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate this nonlinear system. Secondly, a novel Nonlinear Unknown Input Observer (NUIO)-based controller is designed by the use of the concept of Parallel Distributed Compensation (PDC). Then, based on Lyapunov method, asymptotic stability conditions of the error dynamics are given by solving Linear Matrix Inequalities (LMIs). Finally, the effectiveness of the proposed control strategy in terms of tracking trajectory and in the presence of perturbations is verified in comparison with a control strategy based on Unknown Input Observers (UIO) of the ETV described by a switched system for Pulse-Width-Modulated (PWM) reference signal

Discrete-time integral MRAC with minimal controller synthesis and parameter projection

Model reference adaptive controllers with Minimal Control Synthesis are effective control algorithms to guarantee asymptotic convergence of the tracking error to zero not only for disturbance-free uncertain linear systems, but also for highly nonlinear plants with unknown parameters, unmodeled dynamics and subject to perturbations. However, an apparent drift in adaptive gains may occasionally arise, which can eventually lead to closed-loop instability. In this paper, we address this key issue for discrete-time systems under L-2 disturbances using a parameter projection algorithm. A consistent proof of stability of all the closed-loop signals is provided, while tracking error is shown to asymptotically converge to zero. We also show the applicability of the adaptive algorithm for digitally controlled continuous-time plants. The proposed algorithm is numerically validated taking into account a discrete-time LTI system subject to parameter uncertainty, parameter variations and L-2 disturbances. Finally, as a possible engineering application of this novel adaptive strategy, the control of a highly nonlinear electromechanical actuator is considered. (C) 2015 The Franldin Institute. Published by Elsevier Ltd. All rights reserved.Postprint (author's final draft

Synthesis and experimental validation of the novel LQ-NEMCSI adaptive strategy on an electronic throttle valve

Abstract: This paper is concerned with the design of a novel adaptive controller, namely the linear quadratic new extended minimal control synthesis with integral action (LQ-NEMCSI). We present for the first time the analytical proof of asymptotic stability of the controller and experimental evidence of the algorithm effectiveness for controlling an electronic throttle body: an element of any drive-by-wire system in automotive engineering, affected by many nonlinear perturbations

Adaptive control of plants with input saturation: an approach for performance improvement

In this work, a new method for adaptive control of plants with input saturation is presented. The new anti-windup scheme can be shown to result in bounded closed-loop states under certain conditions on the plant and the initial closed-loop states. As an improvement in comparison to existing methods in adaptive control, a new degree of freedom is introduced in the control scheme. It allows to improve the closed-loop response when actually encountering input saturation without changing the closed-loop performance for unconstrained inputs.Diese Arbeit präsentiert eine neue Methode für die adaptive Regelung von Strecken mit Stellgrößenbegrenzung. Für das neue anti-windup Verfahren wird gezeigt, dass die Zustände des Regelkreises begrenzt bleiben, wenn dessen initiale Werte und die Regelstrecke bestimmte Bedingungen erfüllen. Eine Verbesserung im Vergleich zu existierenden Methoden wird durch die Einführung eines zusätzlichen Freiheitsgrades erzielt. Dieser erlaubt die Verbesserung der Regelgüte des geschlossenen Regelkreises, wenn das Eingangssignal sich in der Limitierung befindet, ohne diese sonst zu verändern

Building Indoor Air Temperature and Humidity Control via Innovative Techniques

In this thesis a novel Model Reference Adaptive Control approach, developed to tame the thermohygrometric behaviour of buildings and to guarantee the indoor comfort, is presented. The main advantages of the proposed method are: i) robustness with respect to a large class of perturbations, external disturbances, nonlinear unmodelled dynamics or parameters uncertainty; ii) ability to impose some given profiles to the thermohygrometric variables, iii) accurate regulation and fast tracking of indoor air temperature and humidity in the case of stringent requirements in special building spaces. In order to analyse the effectiveness and robustness of the proposed control strategy, several case studies have been carried out. They refer to some reference buildings with different geometry, use and construction materials (also including phase change materials integrated into the building envelope) simulated in different weather conditions. In addition, the control of multi-zone thermal systems have been also considered in the relevant and innovative case of thermal zones completely included in others (e.g., an expo indoor space of a museum building including a display/case, special indoor hospitals spaces including multiple infant-incubators, etc.). Finally, model based control solutions have been designed for the control of the thermohygrometric dynamics in order to better point out the robustness of the adaptive solution to the computation of the required sensible loads. Results confirm the ability of the developed approach to achieve the selected indoor air temperature and humidity conditions in order to guarantee indoor comfort in uncertain conditions. In order to devise model based controllers, the design of a procedure for generating low order building models from detailed ones is proposed. The mismatch between the outputs of the simplified models with respect to those of the detailed ones have been measured quantitatively via a set of performance indexes. Results confirm that reduced order models of buildings can effectively predict i) indoor air temperature, ii) energy consumptions, iii) sensible heat demands, as well as iv) comfort of occupants (e.g., predicted mean vote, predicted percentage dissatisfied, and mean radiant temperature). Hence, they can be used not only for the design of advanced model based controllers, but also for i) reducing drastically the computation time to get an insight into building energy performance, especially when a large set of simulations are required, ii) deriving mathematical models of building dynamics via reverse engineering methods, when experimental data are available and iii) simulate cluster of buildings

Robust ℋ2 Static Output Feedback To Control An Automotive Throttle Valve

The paper presents a control strategy for an automotive electronic throttle body, a device largely used into vehicles to increase the efficiency of the combustion engines. The synthesis of the proposed controller is based on a linear matrix inequality (LMI) formulation, which allows us to deal with uncertainties on the measurements of the position of the throttle valve. The LMI approach generates a suboptimal solution for the robust ℋ2 static output feedback control problem, and the corresponding suboptimal control gain was evaluated in practice to control the valve position of the throttle. The usefulness of the approach has been verified not only by numerical simulations but also by real experiments taken in a laboratory prototype. © 2014 American Automatic Control Council.31413146Boeing,et al.,GE Global Research,Honeywell,MathWorks,MitsubishiRossi, C., Tilli, A., Tonielli, A., Robust control of a throttle body for drive by wire operation of automotive engines (2000) IEEE Trans. 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