摘要:

A self-tuning regulator is used as a local area controller for interconnected power systems. The area control error, composed of the area frequency error and the total tie-line power deviation for the area, is used as the regulator input variable. By changing the relative weights on the frequency error and on the tie-line power deviation according to their respective variances, it is possible to approach the minimum variances of the individual variables. The proposed regulator can handle unpredicable load changes of random magnitude and duration. Studies on a two-area power system show that with this regulator the system performance is improved over that with the traditional type of load-frequency controller. Because only locally available measurements are required for each area controller, the proposed regulator can be implemented easily using microprocessors.

ISSN:0020-7179    

DOI:10.1080/00207178408933155

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

The problem of tracking a reference input in finite time for systems with unknown parameters, which may be of non-minimum phase, is considered. A method to design a deadbeat controller for systems with known parameters and an adaptive algorithm based on this deadbeat controller are presented and simulations of the behaviour of the adaptive algorithm are given.

ISSN:0020-7179    

DOI:10.1080/00207178408933156

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

The optimal control solution of a dynamical system with time delays is generally very difficult to obtain. In this paper, a uniformly convergent iterative algorithm is developed to obtain a partially closed-loop suboptimal control function for the time-varying linear tracking system with multiple time delays in both state variables and control variables such that a proposed quadratic cost functional was minimized. The essential feature of this method was to treat the time-delayed functions evaluated from the (K–1)th iteration step as perturbations to thekth optimizing iteration of the non–delayed system. The convergency rate of suboptimal solution was very fast.

ISSN:0020-7179    

DOI:10.1080/00207178408933157

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

In this paper we present an algebraic approach to the proof that a linear system with matrices(A, B)is null–controllable using bounded inputs if and only if it is null–controllable (with unbounded inputs) and all eigenvalues of A have non–positive real parts (continuous time) or magnitude not greater than one (discrete time). We also give the analogous results for the asymptotic case. Finally, we give an interpretation of these results in the context of local non–linear controllability.

ISSN:0020-7179    

DOI:10.1080/00207178408933158

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

This paper deals with the problem of designing a precompensator, by using the frequency domain approach, for linear systems having weak inherent coupling such that the composite system will be decouplable through linear state variable feedback (l.s.v.f.) alone. Three algorithms are presented for such a purpose. The first one makes use of a new theorem for dynamic decoupling through l.s.v.f. alone, while the other two make use of the interactor concept. The algorithms always yield stable precompensators. Moreover, the controllability and observability of the composite system are guaranteed.

ISSN:0020-7179    

DOI:10.1080/00207178408933159

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

The behaviour of model-reference adaptive control (M R A C) systems in the presence of unmodelled dynamics is analysed. The analysis indicates the existence of robustness, which is confirmed by simulation studies. These results also cast doubt on the conclusions of Rohrs et al. (1982) concerning the lack of robustness in M R A C schemes.

ISSN:0020-7179    

DOI:10.1080/00207178408933160

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

An adaptive, predictive control system (APCS) is described and a formal proof of global stability is presented for the case of multi variable, stable – in verse, time – invariant processes in the presence of bounded, unmeasured disturbances plus process and measurement noise. Global stability is proven in the sense that the process input / output vector remains bounded and the control error is minimized. The proof of stability is based on certain properties of theaposterioriestimation error and convergence properties of the estimated parameters. Reference is also made to successful experimental and simulation applications of APCS.

ISSN:0020-7179    

DOI:10.1080/00207178408933161

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

Suppose {Xt} is a zero mean second order stationary process satisfying the difference equation Xt= θ Xt–1, where {ut} is a sequence of i.i.d. random variables. Further, we assume that we observe the process yt = Xt + vt, where {Vt} is also a sequence of i.i.d. random variables. The object is to obtain a recursive filter for Xtgiven {Yt}. If the process {ut} and {vt} are gaussian, then the recursive filter is linear, and this is the well known Kalman-Bucy filter. Otherwise, the optimal filters are non-linear. In this paper, we define two non-linear filters and compare their performance with respect to the linear filter.

ISSN:0020-7179    

DOI:10.1080/00207178408933162

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor