Dissertations / Theses: 'Control/multivariable systems'

1

Chang, Anton On Tak. "Multivariable predictive control." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336179.

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Perng, Ming-Hwei. "Nearly decoupled multivariable control systems design." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306496.

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Iyer, S. N. "Modelling and control of multivariable systems." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233534.

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Dong, Y. W. "Genetic design of multivariable control systems." Thesis, University of Salford, 2015. http://usir.salford.ac.uk/36014/.

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In the real world there are three types of multivariable control systems. The first one is when the number of inputs is equal to the number of the outputs, this type of multivariable control system is defined as a squared multivariable control system and the main type of controller designed is a decoupling controller which minimizes interactions and gives good set-point tracking. The second type of multivariable control system is where the number of inputs is greater than the number of the outputs, for this type of system the main controller designed is a fail-safe controller. This controller remains stable if a sub-set of actuator fail. The third type of multivariable control system is the number of outputs is greater than the number of inputs, for this type of system the main controller designed is an override control system. This controller only controls a sub-set of outputs based on a lowest wins control strategy. All the three types of multivariable control systems are included in this thesis. In this thesis the design of multivariable decoupling control, multivariable fail-safe control and multivariable override control as considered. The invention of evolutionary computing techniques has changed the design philosophy for control system design. Rather than using conventional techniques such as Nyquest plots or root-loci control systems can be designed using evolutionally algorithm. Such algorithms evolve solutions using cost functions and optimization. There are a variety of system performance indicators such as integral squared error operator has been used as cost functions to design controllers using such algorithms. The design of both fail-safe and override multivariable controllers is a difficult problem and there are very few analytical design methods for such controllers. Therefore, the main objective of this thesis is to use the genetic algorithms to involve both fail-safe and override controller multivariable controllers, such that they perform well in the time-domain.

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Rossiter, J. A. "Multivariable self-tuning." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279927.

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Alukaidey, R. A. S. "Multivariable identification and adaptive control." Thesis, Brunel University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384517.

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7

Smith, Keith J. "Multivariable control of dynamic structural test systems." Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/13857.

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Multi-actuator structural testing has traditionally been regarded, from a control point of view, as a multi-loop single-input, single-output problem. This approach does not take into account the interaction between. different actuators, due to the dynamics of the structure under test, which can be considerable. The result of this is often poor laboratory reproduction of the actual service data. This project shows that the mass of the structure under test has a considerable impact upon the stability of the traditional multi-loop, single-input, single-output control system. Where stability is prejudiced, the loop gains have to be reduced to maintain stability and this can degrade the performance of the test. In these circumstances multivariable control offers the potential for a significant improvement in performance. Two experimental rigs are used in this project, both exhibit major interaction and pose a significant control problem. The first rig consists of a laboratory scale cantilever beam excited by two electro-dynamic vibrators with displacements measured by Linear Variable Differential Transformers (L VDTs). The second, industrial-scale, rig consists of a large steel frame excited by two hydraulic actuators with applied force measured by load cells. Multivariable controllers are designed and implemented on these rigs based on the frequency-domain Characteristic Locus method. The multivariable controllers are shown to demonstrate superior performance to traditional multi-loop controllers. Mathematical models of the rigs are not required for controller design, instead experimental frequency responses are all that are needed. This is a major attraction of the Characteristic Locus method since the task.of modelling the dynamics of a multichannel structural test system is not trivial. However, obtaining the frequency response of the second rig is made difficult by the imposition of closed-loop control during the identification experiment. A technique is presented to overcome this problem using an existing correlation method.

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El-Rabaie, Nabila Mahmoud. "Multivariable self-tuning control of boiler systems." Thesis, Queen's University Belfast, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335335.

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Latchman, H. A. "Frequency response methods for uncertain multivariable systems." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371544.

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10

Chang, Michael. "Adaptive switching control applied to multivariable systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27888.pdf.

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Ashry, Mahmoud Mohamed. "Control of multivariable aerospace and industrial systems." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504785.

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This thesis presents theoretical and practical issues of local optimal control, which is one of the advanced control methods. It can be counted as an optimal modelbased multivariable control technique. The main contributions of this work can be summarized as follows. A comparative robustness study of local optimal controller with other conventional controllers is performed for gas turbine engine as a multivariable system. As the original local optimal control is incapable to deal with non-minimum phase systems, a modified local optimal control is proposed to deal with non-minimum phase systems as well as minimum phase systems. The local optimal controller performance is investigated for reduced order models. Because of its effectiveness, genetic algorithm is used with certain predefined controller structures as an alternative method to estimate the controller parameters without obtaining the model parameters. A new tuning technique of digital PID controller is introduced for both multivariable and single-input single-output systems based on the relations deduced with the local optimal controller. As such, the PID controller is turned into model-based controller. As tlie PIO and the local optimal controller are model based multivariable controllers, their parameters can be tuned online based on online identification techniques. The recursive lease squares algorithm is used as an online . closed loop identification technique to achieve such online tuning of those controller parameters. Local optimal controller is generalized to deal with non-linear systems as a non-linear controller. Most of the above techniques are tested on a laboratory-based test rig.

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Nuttall, Brian William. "Modelling and multivariable control of turbogenerators." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265542.

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Urquhart, T. A. "Computer aided decoupling design of multivariable control systems." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292238.

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Tham, M. T. "Some aspects of multivariable self-tuning control." Thesis, University of Newcastle Upon Tyne, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354403.

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Crews, Mark Conrad. "Robust multivariable feedback design for uncertain linear systems." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305464.

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Loh, A. P. "Uncertainty estimation and multivariable control system design." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375267.

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17

Sadaoui, Nasser. "Computer-aided study of multivariable nonlinear control systems." Thesis, University of Wolverhampton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240764.

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Elramlawy, Abdelbaset Abdelgaied. "Multivariable flight control systems for agile combat aircraft." Thesis, University of Salford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305206.

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Rocha, e. Silva Valceres Vieira. "Multivariable control systems design using multiobjective evolutionary computing." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310891.

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20

Koetje, Thabo. "Multi-objectives model predictive control of multivariable systems." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11426.

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21

Lampakis, Elias G. "Algebraic synthesis methods for linear multivariable control systems." Thesis, City, University of London, 1995. http://openaccess.city.ac.uk/19007/.

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The mathematical formulation of various control synthesis problems (such as Decentralized Stabilization Problem (DSP), Total Finite Settling Time Stabilization for discrete time linear systems (TFSTS), Exact Model Matching Problem (EMMP), Decoupling and Noninteracting Control Problems) via the algebraic framework of Matrix Fractional Representation (MFR) - i.e. the representation of the transfer matrices of the system as matrix fractions over the ring of interest - results to the study of matrix equations over rings, such as : A . X + B . Y = C , (X. A + Y . B =C) (1) A· X = B , (y. A = B) (2) A·X·B = C (3) A·X + Y·B = C, X·A + B·Y = C, A·X·B + C·Y·D = E (4). The main objective of this dissertation is to further investigate conditions for existence and characterization of certain types of solutions of equation (1) ; develop a unifying algebraic approach for solvability and characterization of solutions of equations (1) - (4), based on structural properties of the given matrices, over the ring of interest. The standard matrix Diophantine equation (1) is associated with the TFSTS for discrete time linear systems and issues concerning the characterization of solutions according to the Extended McMillan Degree (EMD) (minimum EMD, or fixed EMD) of the stabilizing controllers they define, are studied. A link between the issues in question and topological properties of certain families of solutions of (1) is established . Equation (1) is also studied in association with the DSP and Diagonal DSP (DDSP) for continuous time linear systems. Conditions for characterizing block diagonal solutions of (1) (which define decentralized stabilizing controllers) are derived and a closed form description of the families of diagonal and two blocks diagonal decentralized stabilizing controllers is introduced. The set of matrix equations (1) - (4) is assumed over the field of fractions of the ring of interest , ℛ , (mainly a Euclidean Domain (ED) and thus a Principal Ideal Domain (PID)) and solvability as well as parametrization of solutions over ℛ is investigated under the unifying algebraic framework of extended non square matrix divisors, projectors and annihilators of the known matrices over ℛ . In practice the ring of interest is either the ring of polynomials ℝ [s] , or the rings of proper ℝ_pr(s) and especially proper and stable rational functions R_op(s). The importance of R_op(s) is highlighted early in the thesis and further computational issues arising from its structure as an ED are considered.

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22

Shan, Xu Yi. "Bounded feedback and structural issues in linear multivariable systems." Thesis, City University London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316131.

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23

Tsai, Mi-Ching. "Super-optimal control system design for multivariable plants." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238170.

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24

Yamane, Hideaki. "Design of tracking systems incorporating multivariable plants." Thesis, University of Salford, 1991. http://usir.salford.ac.uk/44220/.

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The methodology for the design of error-actuated digital set-point tracking controllers proposed by Porter and co-workers has emerged as a result of the pursuit of effective and practical solutions to the problem of designing digital control systems for unknown, dynamically complex multivariable plants with measurable outputs. In this thesis, such digital set-point tracking controllers and the resulting digital set-point tracking systems are enriched to embrace plants with unmeasurable outputs and plants with more outputs than manipulated inputs. In the study of the latter plants, the novel concepts of limit tracking (i.e. the tracking exhibited by plants with more outputs than inputs) is introduced and an associated methodology for the design of self-selecting controllers is proposed. Such controllers involve the selection of different set-point tracking controllers to control the most critical subset of plant outputs based upon the developed rigorous theoretical foundations for the limit-tracking systems. In such foundations, the classification of linear multivariable plants into Class I and Class II plants based upon their steady-state transfer function matrices facilitates the assessment of the feasibility of limit-tracking systems. Furthermore, the associated order-reduction technique simplifies the problem of deciding the minimum numbers of different subsets of plant outputs to be controlled by corresponding set-point tracking controllers. In addition, the dynamical properties of limit-tracking systems are also investigated using the phase-plane method and a methodology for the design of supervisory self-selecting controllers is proposed so as to prevent the occurrence of dynamical peculiarities such as limit-cycle oscillations which might happen in limit-tracking systems. The effectiveness of all the proposed methodologies and techniques is illustrated by examples, and the robustness properties of set-point tracking systems and limit-tracking systems in the face of plant variations and unknown disturbances are tested. Finally, self-selecting controllers are designed for a nonlinear gas-turbine engine and their practical effectiveness is clearly demonstrated.

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Chen, Chieh-Li. "Robustness analysis and frequency domain design of multivariable control systems." Thesis, University of Manchester, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279667.

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MacKay, Maria Ellen. "Model based predictive control of nonlinear and multivariable systems." Thesis, Manchester Metropolitan University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337269.

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27

Grunberg, Daniel Backer. "A methodology for designing robust multivariable nonlinear control systems." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/15083.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING
Bibliography: leaves 225-231.
by Daniel Backer Grunberg.
Ph.D.

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28

Tan, Liansheng. "Structural and behavioural analyses to linear multivariable control systems." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/10490.

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This thesis is devoted to a number of structural and behavioural problems in linear multivariable control system theory. The first problem addresses the subject of determination of the finite and infinite frequency structure of a rational matrix. A novel method is proposed that determines the finite and infinite frequency structure of any rational matrix. Some neat and numerically stable algorithms are developed to implement this method. The second problem concerns the resol vent decompositions of a regular polynomial matrix and solutions of regular polynomial matrix descriptions (PMDs). Regarding these fundamental is'sues, three contributions are made therein. Firstly, based on a general resolvent decomposition a complete solution of regular PMDs is presented that takes into account both the non-zero initial conditions of the pseudo state and the non-zero initial conditions of the input. Secondly, two special resolvent decompositions are proposed, both of which are applied to formulate the solution of the regular PMDs. The first one is formulated in terms of the finite, infinite, and the generalised infinite Jordan pairs, which is a refinement of the results given by Gohberg et al. [74] and Vardulakis [25]. The second resolvent decomposition is proposed on the Weierstrass canonical form of the generalised companion matrix of the polynomial matrix. Thirdly, a new characterization of the impulsive free initial conditions of regular PMDs is given and the relationship between the finite and infinite frequency structure of a regular polynomial matrix and its generalised companion matrix is determined. In the third problem a generalization of the chain-scattering representation for general plants is presented. Through the notion of input-output consistency, the conditions under which the generalised chain-scattering representation and the dual generalised chain-scattering representation exist are proposed. Some algebraic system properties of the GCSRs and DGCSRs are studied. The fourth problem is devoted to a new notion of realization of behaviour. We introduce a notion realization of behavior which is shown to be a generalization of the classical concept of a realization of transfer function. By using this approach, the input-output structures of the generalized chain-scattering representations and the dual generalized chain-scattering representations are investigated in a behavioral theory context. The last problem is devoted to the subjects of system wellposedness and internal stability. We present certain generalisations to the classical concepts of wellposedness and internal stability. The input consistency and output uniqueness of the closed-loop system in the standard control feedback configurations are discussed. Based on this, a number of notions are introduced such as fully internal wellposedness, externally internal wellposedness, and externally internal stability, which characterize the rich input-output and stability features of the general control systems in a general setting. On the basis of these notions the extended JL control problem is defined in a general setting.

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Merzougui, T. "Design of digital controllers for irregular linear multivariable plants." Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308206.

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Derradji, Djamel Abdennacer. "Multivariable and reconfigurable neural controllers for submarine dynamic models." Thesis, University of Sheffield, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296814.

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Stefanidis, Peter. "Pole-placement design of multivariable control systems using algebraic methods /." Title page, abstract and contents only, 1989. http://web4.library.adelaide.edu.au/theses/09ENS/09enss816.pdf.

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Pang, G. K.-H. "An expert systems approach to computer-aided design of multivariable control systems." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383349.

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Foo, Yung Kuan. "Robustness of multivariable feedback systems : analysis and optimal design." Thesis, University of Oxford, 1985. http://ora.ox.ac.uk/objects/uuid:b0232383-ed71-42f1-92bc-597cd72c872b.

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The robustness of the stability property of multivariable feedback control systems with respect to model uncertainty is studied and discussed. By introducing a topological notion of arcwise connectivity, existing and new robust stability tests are combined and unified under a common framework. The new switching-type robust stability test is easy to apply, and does not require the nominal and perturbed plants to share the same number of closed right half-plane poles, or zeros, or both. It also highlights the importance of both the sensitivity matrix and the complementary sensitivity matrix in determining the robust stability of a feedback system. More specifically, it is shown that at those frequencies where there is a possibility of an uncertain pole crossing the jw-axis, robust stability is "maximized" by minimizing the maximum singular value of the sensitivity matrix. At frequencies where there is a likelihood of uncertain zeros crossing the imaginary axis, it is then desirable to minimize the maximum singular value of the complementary sensitivity matrix. A robustness optimization problem is posed as a non-square H^∞-optimization problem. All solutions to the optimization problem are derived, and parameterized by the solutions to an "equivalent" two-parameter interpolation problem. Motivated by improvements in disturbance rejection and robust stability, additional optimization objectives are introduced to arrive at the 'best' solution.

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Musgrave, Damyn James. "Modelling and multivariable control of a gearless vibratory pile-driver." Thesis, University of Sheffield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369914.

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35

Abidin, Zainal. "Design of digital high-accuracy trajectory tracking systems for multivariable plants." Thesis, University of Salford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304589.

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36

Cloud, D. J. "A weighting sequence approach to the analysis and design of multivariable control systems." Thesis, University of Oxford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233477.

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37

Mahmood, Sajid. "Some structural problems arising in the generalised theory of linear multivariable control systems." Thesis, Loughborough University, 1996. https://dspace.lboro.ac.uk/2134/27896.

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A number of structural problems in linear multivariable control systems are considered in this thesis. The first concerns the detail of the infinite frequency structure of a rational matrix carried in a matrix fraction description (MFD) and the question of how this may be detected in an immediate way. It is shown that any non-prime MFD which is just a column (resp. row) reduced MFD (CRMFD (resp. RRMFD)) readily displays such information. Of particular interest are those CRMFDs (resp. RRMFDs) which display the complete infinite frequency structure, as regards multiplicity and degree of the infinite pole-zero structure.

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38

Borairi, M. "Genetic design of tunable digital set-point tracking controllers for linear multivariable plants." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262674.

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Halvarsson, Björn. "Interaction Analysis in Multivariable Control Systems : Applications to Bioreactors for Nitrogen Removal." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122294.

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Many control systems of practical importance are multivariable. In such systems, each manipulated variable (input signal) may affect several controlled variables (output signals) causing interaction between the input/output loops. For this reason, control of multivariable systems is typically much more difficult compared to the single-input single-output case. It is therefore of great importance to quantify the degree of interaction so that proper input/output pairings that minimize the impact of the interaction can be formed. For this, dedicated interaction measures can be used. The first part of this thesis treats interaction measures. The commonly used Relative Gain Array (RGA) is compared with the Gramian-based interaction measures the Hankel Interaction Index Array (HIIA) and the Participation Matrix (PM) which consider controllability and observability to quantify the impact each input signal has on each output signal. A similar measure based on the $\mathcal H_2$ norm is also investigated. Further, bounds on the uncertainty of the HIIA and the PM in case of uncertain models are derived. It is also shown how the link between the PM and the Nyquist diagram can be utilized to numerically calculate such bounds. Input/output pairing strategies based on linear quadratic Gaussian (LQG) control are also suggested. The key idea is to design single-input single-output LQG controllers for each input/output pair and thereafter form closed-loop multivariable systems for each control configuration of interest. The performances of these are compared in terms of output variance. In the second part of the thesis, the activated sludge process, commonly found in the biological wastewater treatment step for nitrogen removal, is considered. Multivariable interactions present in this type of bioreactor are analysed with the tools discussed in the first part of the thesis. Furthermore, cost-efficient operation of the activated sludge process is investigated.

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Chrysanthou, A. "Digital control of linear multivariable plants with input and output time delays." Thesis, University of Salford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.353969.

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Al-Muthairi, Naser F. "Pole-placement with minimum effort for linear multivariable systems." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/49916.

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This dissertation is concerned with the problem of the exact pole-placement by minimum control effort using state and output feedback for linear multivariable systems. The novelty of the design lies in obtaining a direct transformation of the system matrices into a modified controllable canonical form. Two realizations are identified, and the algorithms to obtain them are derived. In both cases, the transformation matrix has some degrees of freedom by tuning a scalar or a set of scalars within the matrix. These degrees of freedom are utilized in the solution to reduce further the norm of the state feedback matrix. Then the pole-placement problem is solved by minimizing a certain functional, subject to a set of specified constraints. A non-canonical form approach to the problem is also proposed, where it was only necessary to transform the input matrix to a special form. The transformation matrix, in this method, has larger degrees of freedom which can be utilized in the solution. Moreover, a new pole-placement method based on the non-canonical approach is derived. The solution, in this method, was made possible by solving the Lyapunov matrix equation. Finally, an iterative algorithm for pole-placement by output feedback is extended so as to obtain an output feedback matrix with a small norm. The extension has been accomplished by applying the successive pole shifting method. Two schemes for the pole shifting are proposed. The first is to successively shift the poles through straight paths starting from the open loop poles and ending at the desired poles, whereas the second scheme shifts the poles according to a successive change of their characteristic polynomial coefficients.
Ph. D.
incomplete_metadata

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42

Miftach, Fetri Emirudin Hartawan. "The application of multivariable control methods to gust load alleviation analysis." Thesis, University of Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311343.

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Stevanatto, Filho Luiz Carlos. "Identificação parcial da resposta em freqüência de sistemas multivariáveis e sintonia de controladores descentralizados." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15739.

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Utilização de experimentos com relés para identificação de pontos da resposta em freqüência de sistemas multivariáveis quadrados e sintonia de controladores PID descentralizados.
It use relay experiments for square multivariable system frequency response and decentralized PID controller tunning.

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44

Milonidis, E. "Finite settling time stabilization for linear multivariable time-invariant discrete-time systems : an algebraic approach." Thesis, City University London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259928.

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Manganas, T. "Design of high-performance tracking systems for multivariable plants with explicit actuator and sensor dynamics." Thesis, University of Salford, 1987. http://usir.salford.ac.uk/26795/.

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The problems created by the presence of finite actuators and sensors in the control of linear multivariable systems are well known. These problems, which are particularly evident when high-gain or fast-sampling control is used, are usually the cause of highly oscillatory or even unstable closed-loop time-domain behaviour. Therefore, the presence of finite actuators and sensors is probably one of the major factors responsible for the failure of many of the existing multivariable. control methods to deal with practical control problems, .especially in the case of 'high-performance 1 systems - that require tight non-interacting closed-loop tracking behaviour. In this thesis, the very important field of high-gain and fast-sampling control of linear multivariable systems with explicit actuators and sensors is investigated. In particular, the synthesis of both high-gain analogue and fast-sampling digital error-actuated proportional-plus-integral controllers for linear minimum-phase multivariable plants with explicit actuator and sensor dynamics is presented. More importantly. the tuning of such controllers is systematised to make explicit the choice of the controller tuning parameters based on the gain/sampling frequency, the actuator and/or sensor time-constants, and the required closed-loop time-domain performance of the tracking systems. Furthermore, it is shown that the controller design can be achieved using only data obtained from direct input-output measurements in the time-domain. In this way, the limitations imposed by the requirement for the provision of linearised models in either state-space or transfer function matrix form - a prerequisite of many current design methodologies - for the purposes of controller design are eliminated and, as a result, the scope of practical applicability of the developed design methodology is vastly increased. The various novel facets of this design methodology are illustrated throughout this thesis by considering the multivariable model of a gas turbine with explicit actuator and sensor dynamics. Thus, the performance characteristics of the controllers for this gas turbine designed by the -present methodology are compared with those of controllers designed by previous methodologies.

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Marcopoli, Vincent R. "Analysis and synthesis tools for a class of actuator-limited multivariable control systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1058547886.

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47

Hong, Feng. "Multivariable predictive control development and application in food extrusion processes /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946262.

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48

Othman, M. Z. "Design of self-repairing digital PID controllers for non-square multivariable plants." Thesis, University of Salford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327959.

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Álvarez, Martín José Alberto. "Adaptive multivariable intermittent control : theory, development, and applications to real-time systems." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30633/.

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Intermittent Control, as a control scheme that switches between open and closed-loop configurations, has been suggested as an alternative model to describe human control and to explain the intermittency observed during sustained control tasks. Additionally, IC might be beneficial in the following scenarios: 1 - in the field of robotics, where open-loop evolution could be used for computationally intensive tasks such as constrained optimisation routines, 2 - in an adaptation context, helping to detect system and environmental variations. Based on these ideas, this thesis explored the application of real-time multivariable intermittent controllers in humanoid robotics as well as adaptive versions of IC implemented on inverted pendulum structures.

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Janat, Yaman. "Commande CRONE monovariable et multivariable de systèmes peu amortis." Toulouse 3, 2007. http://thesesups.ups-tlse.fr/56/.

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La réduction des vibrations est un problème majeur dans le secteur industriel. Cette thèse met en œuvre la technique du contrôle actif qui permet d'atténuer les résonances d'une structure. . Les deux supports expérimentaux de cette thèse sont des procédés " actifs ", l'un monovariable et l'autre multivariable. Le premier procédé est une maquette simple composée d'une poutre encastrée-libre soumise à la flexion uniquement. Le second procédé est une maquette simplifiée d'aile d'avion et soumise à la fois à la flexion et à la torsion. Dans le cadre de cette thèse, les procédés étant à la fois peu amortis mais aussi incertains, la stratégie de commande repose sur la mise en œuvre de contours dits " d'isoamortissement " d'une part et de la commande CRONE (Commande Robuste d'Ordre Non Entier) d'autre part. Ces contours et cette commande sont tous deux des résultats de la recherche menée par Alain Oustaloup à partir de la théorie de la dérivation non entière. Les contours d'isoamortissement sont particulièrement adaptés au contrôle de vibrations car la graduation du contour d'isoamortissement tangeant au lieu de Nichols en boucle ouverte est significative du facteur d'amortissement en asservissement et en régulation. La commande CRONE a pour objectif la robustesse du degré de stabilité de la commande vis-à-vis des incertitudes du procédé. Le degré de stabilité est mesuré par le facteur de résonance en asservissement ou le facteur d'amortissement en asservissement et en régulation et les incertitudes sont prises en compte à travers les véritables domaines qu'elles définissent, conférant ainsi à la commande CRONE un caractère non pessimiste. Cette thèse a mis en évidence l'efficacité de la commande CRONE associée aux contours d'isoamortissement pour traiter les procédés incertains peu amortis. Les procédés d'étude asservis présentent des réponses avec un meilleur facteur d'amortissement et les essais ont montré les propriétés de robustesse de la commande
The vibrations reduction is a major issue in the industrial field. This thesis deals with active control to attenuate the resonances of a structure. The two experimental devices of this thesis are processes with piezoelectric ceramics; one is monovariable and the other is multivariable. The first one is a simple model composed of a free-clamped beam only subjected to bending. The second is a simplified model of an airplane wing, subjected at the same time to bending and torsion. In the frame of our work, the processes being at the same time lightly-damped and uncertain, the control strategy lies on fractional robust control (CRONE control) and iso-damping contours. The iso-damping contours are particularly adapted to the control of vibrations since the graduation of the iso-damping contour tangent to an open-loop Nichols locus is the damping factor of the closed-loop response. The CRONE control aims at insuring the robustness of the stability degree of the control, taking into account the plant uncertainties. The stability degree is measured by the resonance factor or the damping factor and the plant uncertainties are taken into account without over-estimation. This thesis has shown the efficiency of the CRONE control associated to the iso-damping contours in order to deal with uncertain and lightly damped processes. The studied processes are well-better damped and experimental results have confirmed the robustness of the control
This thesis work is placed at the crossroad of Automatic control, Artificial Intelligence and Biotechnology. It aims at developing a modelling and control methodology based on a fuzzy logic approach. The first part of the work presents an introduction to the principles and techniques used in current wastewater treatment plants. It highlights the difficulty in modelling the multiple phenomena involved. From this fact, in the second part, focused on fuzzy modelling and control, we develop initially the identification of affine fuzzy models of Takagi-Sugeno (TS) type from input-output data. We used several fuzzy clustering methods as well as an agglomerative-competitive method which is robust in presence of noise. This type of "grey box" approach allows a rule-based representation which approximates the nonlinear dynamics as a concatenation of locally linear sub-models in the nonlinear autoregressive form (NARX). Moreover, we have developed a graphical version of the FMID toolbox for the fuzzy modelling of systems. Then, we propose a suboptimal linear-quadratic TS fuzzy control relevant to the structure of the identified fuzzy model, by using the parallel distributed compensation (PDC) technique. Finally, the whole methodology is tested and validated in simulation on an aerobic wastewater treatment bioprocess

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Dissertations / Theses on the topic 'Control/multivariable systems'

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