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Volume 136
Issue 6
IEE Proceedings D (Control Theory and Applications)
Volume 136, Issue 6, November 1989
Volumes & issues:
Volume 136, Issue 6
November 1989
Predictive H∞ model reference optimal control law for SIMO systems
- Author(s): M.J. Grimble
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 273 –284
- DOI: 10.1049/ip-d.1989.0036
- Type: Article
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p.
273
–284
(12)
The design of H∞ robust controllers for systems with single-input and many outputs is considered. Many simplifications can be achieved over the more general multivariable problem which is important in self-tuning control applications. The tracking problem considered is novel and allows a model-following capability to be introduced. A predictive control feature is also available which enables future values of the set point to be taken into account, as in preprogrammed robot control.
Generalised H∞ multivariable controllers
- Author(s): M.J. Grimble
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 285 –297
- DOI: 10.1049/ip-d.1989.0037
- Type: Article
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p.
285
–297
(13)
The design of multivariable controllers to minimise a H∞ cost function is considered. The cost function to be minimised is specially selected to enable both control and error signal spectra to be minimised, and also to provide a simple controller structure. Because of the different cost function, the problem is not the same as that usually considered but still allows sensitivity and complementary sensitivity terms to be minimised in a certain sense. The polynomial systems approach is taken to the solution of the H∞ control problem. This involves the use of the solution to the more LQG type of control problem to provide the solution to the desired H∞ problem.
Damping ratio of linear uncertain discrete-time systems
- Author(s): C.B. Soh ; Y.H. Lim ; T.C. Lim
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 298 –300
- DOI: 10.1049/ip-d.1989.0038
- Type: Article
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p.
298
–300
(3)
Poly topes of (characteristic) polynomials arise when systems experience realparameter variations. The paper presents a sufficient condition, requiring only a finite number of computations, for determining if all the roots of a polytope of polynomials have prescribed damping ratios of discrete-time systems. It also gives a measure of robustness for a given polytope of polynomials.
Robust pole-placement for uncertain interval systems
- Author(s): Y.C. Soh
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 301 –306
- DOI: 10.1049/ip-d.1989.0039
- Type: Article
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p.
301
–306
(6)
In the paper, the author presents a new theorem on the characterisation of a set of robust pole-placement controllers for a class of uncertain interval systems. The robust controller design is then posed as a quadratic programming problem. A new sensitivity analysis method, which characterises the allowable interval bounds for the uncertain system parameters, is also presented.
Parametric state-feedback control for arbitrary eigenvalue assignment with minimum sensitivity
- Author(s): T.J. Owens and J. O'Reilly
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 307 –313
- DOI: 10.1049/ip-d.1989.0040
- Type: Article
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p.
307
–313
(7)
The problem of closed-loop system eigenvalue sensitivity to small parameter variations in some, but not all, of the elements of the open-loop system model matrices is considered. An insightful parameterisation of all assignable closed-loop eigenvalue sensitivities is provided through the application of a recent explicit parameterisation of the class of linear eigenvalueassigning state-feedback controllers. Based on this parameterisation, a numerical optimisation method for designing a constant gain feedback matrix which assigns the closed-loop eigenvalues to desired locations, such that these eigenvalues have low sensitivity to variation in the open-loop state-space model, is presented.
New canonical form for pole placement
- Author(s): Franco Blanchini
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 314 –316
- DOI: 10.1049/ip-d.1989.0041
- Type: Article
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p.
314
–316
(3)
Disturbance rejection in nonlinear systems: examples
- Author(s): K.M. Passino
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 317 –323
- DOI: 10.1049/ip-d.1989.0042
- Type: Article
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p.
317
–323
(7)
Disturbance rejection can be achieved in certain nonlinear systems via differential geometric control methods. In the paper, examples are given to illustrate some of the theoretical results from this field. In particular, both static and dynamic systems are examined. A controller can be specified for certain static systems that will reject additive disturbances. A MIMO nonliner model of a DC/AC convertor is used to illustrate various disturbance rejection results. Examples of SISO linearisation and MIMO disturbance rejection, linearisation and decoupling are given. A bibliography is provided for further research.
Application of extended Luenberger observer for flux and rotor time-constant estimation in induction motor drives
- Author(s): T. Orlowska-Kowalska
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 324 –330
- DOI: 10.1049/ip-d.1989.0043
- Type: Article
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p.
324
–330
(7)
The synthesis method of an extended state observer for a nonlinear dynamical system is described. A presented observer enables the observation of system state vector and the identification of system parameter simultaneously. This method was adapted to the designing of the extended state and parameter observer for the induction motor. Generally, the proposed observer belongs to the class of time-varying reduced-order estimators. An analysis of the dynamical properties of each observeris presented. It is discovered that this kind of observer enables observation of the rotor flux and the identification of the rotor time-constant simultaneously, in synchronous or asynchronous operation, which greatly improves the computational facility and flexibility in the the microprocessor realisation of such a system.
New computationally efficient formula for backward-pass fixed-interval smoother and its UD factorisation algorithm
- Author(s): H.K. Kuga
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 331 –332
- DOI: 10.1049/ip-d.1989.0044
- Type: Article
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p.
331
–332
(2)
New computationally efficient formula for backward-pass fixed-interval smoother and its UD factorisation algorithm
- Author(s): K. Watanabe and S.G. Tzafestas
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, page: 332 –332
- DOI: 10.1049/ip-d.1989.0045
- Type: Article
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p.
332
(1)
Continuous-time approach to self-tuning control algorithm, implementation and assessment
- Author(s): Amit Patra and Ganti Prasada Rao
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 333 –340
- DOI: 10.1049/ip-d.1989.0046
- Type: Article
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p.
333
–340
(8)
Inspired by the widely reported success of applications of piecewise-constant orthogonal functions to several problems of systems and control (in particular, to that of identification and the desirability of continuous-time treatment of the underlying design problem for self-tuning control), a completely continuous-time self-tuning algorithm based on block pulse functions is presented in the paper. It is found that the proposed algorithm is superior in performance to the corresponding discrete-time algorithm in the case of an example.
Optimal modal controller design by entire eigenstructure assignment
- Author(s): M. Saif
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 6, p. 341 –344
- DOI: 10.1049/ip-d.1989.0047
- Type: Article
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p.
341
–344
(4)
A computationally simple sequential algorithm for designing an optimal modal controller is presented. The approach is capable of systematically calculating a set of appropriate weighting matrices for the cost functional in the quadratic performance index, so that the resulting optimal control law would not only minimise the cost functional, but also place the eigenspectrum of the closed-loop system at some predefined locations.
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