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Volume 147
Issue 4
IEE Proceedings - Control Theory and Applications
Volume 147, Issue 4, July 2000
Volumes & issues:
Volume 147, Issue 4
July 2000
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- Author(s): J. Ritonja ; D. Dolinar ; B. Grc̆ar
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 373 –380
- DOI: 10.1049/ip-cta:20000548
- Type: Article
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p.
373
–380
(8)
The paper discusses the stability problem of a synchronous generator connected to an infinite bus. Owing to the time-consuming tuning of a conventional power-system stabiliser and its non-optimal damping in the entire operating range, simple adaptive control is proposed. The following are presented: the influence of the operating point (loading) on the eigenvalues of a simplified linearised model of a synchronous generator; the model reference adaptive control for almost strictly positive real plants and the simple adaptive power-system stabiliser derived from the presented model reference adaptive control theory. The control-system design was carried out for the simplified linearised model of a synchronous generator, but for the evaluation of the control-system performance in the single machine case under small-signal and large-signal disturbances, the full-order non-linear model of the synchronous generator was used. Simulation and experimental results show the applicability of the presented approach. - Author(s): K.-H. Cho and J.-T. Lim
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 381 –386
- DOI: 10.1049/ip-cta:20000436
- Type: Article
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p.
381
–386
(6)
The paper formulates the multiagent fault-tolerant supervisory control of serial production systems under partial observation based on unobservable fault identification utilising the difference information of the controlled results. This allows the productivity of the serial production systems to be improved and the facilities to be protected in a certain abnormal situation. A case study of the fault-propagation control of polypropylene prepolymerisation and polymerisation reactors is provided to illustrate the proposed control scheme. - Author(s): W.-H. Chen ; D.J. Ballance ; J. O'Reilly
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 387 –394
- DOI: 10.1049/ip-cta:20000379
- Type: Article
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p.
387
–394
(8)
Implementation of model predictive control (MPC) for nonlinear systems requires the online solution of a nonconvex, constrained nonlinear optimisation problem. Computational delay and loss of optimality arise in the optimisation procedures. The paper presents a practical MPC scheme for nonlinear systems with guaranteed asymptotic stability. It is shown that when an initial control profile is chosen to satisfy an inequality condition in each online optimisation procedure, the nonlinear system under the proposed nonlinear MPC is asymptotically stable. The stability condition presented in the paper enables the `fictitious' terminal control to be nonlinear, rather than only linear, thus the stability region is greatly enlarged. Furthermore it is pointed out that nominal stability is still guaranteed even though the global, or even the local, minimisation of the objective cost is not achieved within the prescribed computational time. - Author(s): K. Hidaka ; H. Ohmori ; A. Sano
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 395 –402
- DOI: 10.1049/ip-cta:20000591
- Type: Article
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p.
395
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(8)
In the paper, a novel adaptive filter design for a linear time-varying system is proposed. The authors introduce a robust height order estimation (HOE) to which they apply the HOE for a linear time-invariant (LTI) system by using σ-modification and show the sufficient condition for stability. Since the robust HOE can estimate the differential of any degree, thetaŝ(ρ)(t) from a parameter thetaŝ(t) directly, the number of control parameters does not increase, and all parameter vectors thetaŝ(ρ)(t) can converge to an unknown vector thetas(ρ)(t) in the case of thetaŝ(t)−thetas(t)=0. Furthermore, the proposed algorithm does not require the structure of unknown parameters. Finally, the system is compared to the conventional method by numerical simulation and the effectiveness is demonstrated. - Author(s): F. Ahmad and M. Razzaghi
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 403 –406
- DOI: 10.1049/ip-cta:20000593
- Type: Article
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p.
403
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A new method that generates approximate values of the solution of the time-varying singular problem is presented in the paper. The method of regularisation is used to overcome the ill-posedness of this problem and a relation between the unknown state variable and its derivative is generated. A pseudospectral method is used to discretise this relationship. The discrete relationship between the state variable and its derivative is reduced to a set of algebraic equations, which are solved to produce values of the state variable at discrete values of time. Performance of this method is evaluated through its application to the solution of an example of a time-varying singular system. Results from this example show that this method generates excellent approximate values for the state variable of the singular system. - Author(s): T.J. Owens and S. Askarpour
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 407 –415
- DOI: 10.1049/ip-cta:20000117
- Type: Article
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p.
407
–415
(9)
Parametric and subspace approaches to eigenstructure assignment are integrated to provide conceptually simple algorithms for eigenstructure assignment in controllable linear descriptor systems by proportional plus derivative state feedback and proportional state feedback. In particular, unlike comparable algorithms the new algorithms do not require right coprime matrix polynomials to be determined. The integrated approach enables the eigenstructure assignable with multiple eigenvalues to be readily identified. - Author(s): M.A. Barron ; R. Aguilar ; J. González
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 416 –420
- DOI: 10.1049/ip-cta:20000256
- Type: Article
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p.
416
–420
(5)
To regulate the level of molten steel in the mold of a continuous casting process, a control scheme is proposed, in which the pressure in the vacuum chamber of the tundish is employed as control input. When the feedback linearising technique is employed, it yields an unusual control law, in which the link between the time derivative of the mold level and the output error is not linear; in this case, the asymptotic stability of the system is not guaranteed. To ensure asymptotic stability, the correctness of the control law is analysed and a modified control law proposed. Numerical simulations show the adequacy of the dynamic performance of the modified control law, and that is feasible to extend the feedback linearising technique to design controllers for a certain class of nonlinear systems. - Author(s): S. Majhi and D.P. Atherton
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 421 –427
- DOI: 10.1049/ip-cta:20000245
- Type: Article
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p.
421
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(7)
A single-relay feedback test can be used to identify exact model parameters of an unstable first-order plus delay (FOPDT) transfer function when a limit cycle exists. This is only true if the ratio of time delay to unstable time constant is less than 0.693. It is shown how adding an internal proportional (P) feedback can increase this value. The P controller parameter for the identification is set in terms of the steady-state gain of the process, which is assumed to be known a priori. The tuning of two types of controller is discussed: PI and PI-PD. Two methods of controller tuning are proposed; tuning formulas in terms of the plant model parameters; simple auto-tuning rules based on the single-relay feedback test, where necessary with the P feedback controller. It is also shown that a PD in the inner feedback loop gives a better control than a P controller suggested for controlling unstable process. The proposed identification and control methods are simple and give better performance than previous methods for unstable FOPDT processes. - Author(s): Y. Yang ; G.-H. Yang ; Y.C. Soh
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 428 –432
- DOI: 10.1049/ip-cta:20000553
- Type: Article
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p.
428
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The paper considers the problem of LQ regulator design for discrete-time systems with actuator failures. The problem is to design a reliable LQ state feedback regulator which can tolerate actuator failures, such that the cost of the system is guaranteed to be within a certain bound. The state feedback control design for guaranteed cost control is given in terms of solution to an algebraic Riccati equation. The resulting control system is reliable, in that it provides guaranteed asymptotic stability despite some actuator failures. A numerical example shows the effectiveness of the method. - Author(s): G.-H. Yang ; J.L. Wang ; Y.C. Soh
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 433 –439
- DOI: 10.1049/ip-cta:20000499
- Type: Article
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p.
433
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(7)
The paper is concerned with reliable LQG controller design for linear systems with sensor failures. A model of sensor failures more practical than outage is adopted. Two procedures of designing reliable LQG controllers are presented: stabilising solutions of three coupled Riccati equations; and solutions to one Riccati equation and two linear matrix inequalities. The resulting control systems are guaranteed to be robustly stable and with a known cost bound on the LQG cost against sensor failures. Algorithms are developed to obtain a solution and illustrated via numerical examples. - Author(s): D.Q. Zhang and G.X. Guo
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 440 –446
- DOI: 10.1049/ip-cta:20000501
- Type: Article
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p.
440
–446
(7)
The paper presents a new proximate time optimal seek control approach with discrete-time variable structure control theory for a hard disk drive (HDD) servo. It incorporates the time optimal control idea into the time-varying sliding mode control design and derives a class of proximate time optimal control algorithms with robustness. The proposed approach provides one unified framework for both track seeking and track following controller design, it achieves smooth transition from seek control to track-following control naturally, and it eliminates the common chattering and overshoot problem as well. A systematic method is developed for the choice of controller parameters. Simulation results are demonstrated to show the robustness of the proposed method to disturbances, unmodelled dynamics and parameter variations with near time optimal performance. - Author(s): S. Tarbouriech ; I. Queinnec ; C. Pittet
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 447 –455
- DOI: 10.1049/ip-cta:20000552
- Type: Article
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p.
447
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(9)
Nonlinear state feedback controllers are exhibited for locally stabilising linear discrete-time systems with both saturating actuators and additive disturbances when the output must track a certain time-varying reference level. The objective is to bring the steady-state error due to disturbances to zero, by using a saturated controller and a dead-zone function. The objective is two-fold: to determine both a stabilising controller and a region of the state space over which the stability of the resulting closed-loop system is ensured, when the controls are allowed to saturate. - Author(s): R. Bárcena ; M. de la Sen ; I. Sagastabeitia
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 456 –464
- DOI: 10.1049/ip-cta:20000550
- Type: Article
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p.
456
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The paper discusses the limiting zeros, as the sampling period tends to zero, of sampled systems composed of a fractional order hold (FROH), a continuous-time plant and a sampler in cascade. The focus is on the evolution on the complex plane of the limiting discrete zeros with the gain β of the FROH. The classical root locus method is used, where β is the generalised gain. The appropriate β is determined to obtain the FROH that provides discretization zeros as stable as possible, or with improved stability properties even when unstable, for a given continuous-time plant. The FROH discretisation of continuous-time plants with relative degree two is analysed, and a straightforward method is developed to obtain the optimum value of β. The study is extended for sufficiently small, but finite, sampling periods and zero-free continuous-time plants. - Author(s): A. Desbiens ; D. Hodouin ; É. Plamondon
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 465 –475
- DOI: 10.1049/ip-cta:20000443
- Type: Article
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p.
465
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(11)
Predictive control has now reached a mature level. However, a unification of long-range predictive controllers, such as unified predictive control (UPC), generalised predictive control (GPC) and partial state model reference control (PSMRC) is still lacking. The paper presents global predictive control (GlobPC), which unifies, for stable processes, these controllers. GlobPC is based on an internal model framework where three independent control criteria are minimised: one for tracking, one for regulation and one for feedforward. Using three criteria allows for the desired tracking to be obtained, and for regulation and feedforward to behaviours in an optimal way, while keeping them perfectly separated. The GlobPC structure also exhibits a clean separation of the stochastic and deterministic parts of the control algorithm. The state–space model representation is used for a more uniform and easy programming of GlobPC for both single-input single-output and multiple-input multiple-output processes. An application to a pilot plant illustrates the benefits of the method. - Author(s): Y. Li ; N. Sundararajan ; P. Saratchandran
- Source: IEE Proceedings - Control Theory and Applications, Volume 147, Issue 4, p. 476 –484
- DOI: 10.1049/ip-cta:20000549
- Type: Article
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p.
476
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(9)
A performance analysis is presented of the minimal resource allocating network (MRAN) algorithm for online identification of nonlinear dynamic systems. Using nonlinear time-invariant and time-varying identification benchmark problems, MRAN's performance is compared with the online structural adaptive hybrid learning (ONSAHL) algorithm. Results indicate that the MRAN algorithm realises networks using fewer hidden neurons than the ONSAHL algorithm, with better approximation accuracy. Methods for improving the run-time performance of MRAN for real-time identification of nonlinear systems are developed. An extension to MRAN is presented, which utilises a winner neuron strategy and is referred to as the extended minimum resource allocating network (EMRAN). This modification reduces the computation load for MRAN and leads to considerable reduction in the identification time, with only a small increase in the approximation error. Using the same benchmark problems, results show that EMRAN is well suited for fast online identification of nonlinear plants.
Simple adaptive control for a power-system stabiliser
Unobservable fault-propagation control of serial production systems based on discrete-event models
Model predictive control of nonlinear systems: Computational burden and stability
Adaptive filter for a linear time-varying system with a high-order estimator
Numerical method for the analysis of time-varying singular systems
Integrated approach to eigenstructure assignment in descriptor systems by PD and P state feedback
Regulation of the mold level using a vacuum in a steel continuous casting process
Online tuning of controllers for an unstable FOPDT process
Reliable control of discrete-time systems with actuator failure
Reliable LQG control with sensor failures
Discrete-time sliding mode proximate time optimal seek control of hard disk drives
Output-reference tracking problem for discrete-time systems with input saturations
Improving the stability properties of the zeros of sampled systems with fractional order hold
Global predictive control: A unified control structure for decoupling setpoint tracking, feedforward compensation and disturbance rejection dynamics
Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems
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