Regulation of River Water Level by Adaptive Control of a Reservoir Trap

Fjeld, Magne; Foss, Bjarne A.; Aam, Sverre

doi:10.23919/acc.1983.4788226

Cited by 8 publications

(1 citation statement)

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“…These parameters are later updated in such a way that the controller model adequately follows the irrigation main canal dynamic behavior [18,19]. Estimation techniques have been used since the eighties in open irrigation canal applications for on-line identification of model parameters, which makes it possible to improve the open loop model behavior [6,9,23]. These recursive identification techniques are required in specific model based control methods as model based adaptive control or model based adaptive predictive control [19].…”

Section: Introductionmentioning

confidence: 99%

Robust system identification of an irrigation main canal

Rivas-Pérez

Feliu-Batlle

Rodríguez

2007

Advances in Water Resources

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Section: Introductionmentioning

confidence: 99%

Robust system identification of an irrigation main canal

Rivas-Pérez

Feliu-Batlle

Rodríguez

2007

Advances in Water Resources

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Theory and application of an extended horizon self‐tuning controller

1985

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A robust version of the self-tuning regulator is developed. The regulator, which requires relatively little knowledge of system characteristics (estimated order of transfer function polynomials and an upper bound for transportation delays), has been shown to yield stable control and convergence for linear, time-invariant systems. Simulations and practical tests on a large pilot-scale process have shown that the inclusion of a variable forgetting factor and an "extended horizon" control criterion provides the regulator with a sufficient degree of robustness and flexibility to perform well in a nonlinear time-varying environment. The regulator makes use of intuitively easy-to-understand concepts and leaves few degrees of freedom for the potential user. Furthermore, extensive experiments and simulation studies have shown it to be insensitive to choice of initial conditions and dynamic characteristics set by the user. SCOPEThe idea of the self-tuning regulator was developed (ktrom and Wittenmark, 1973) to cope with the problem of controlling linear, time-invariant systems with unknown or uncertain models, and which were subject to stochastic disturbances-a situation which is not common in the chemical industry. There have been subsequent attempts to modify the basic concepts to obtain algorithms which can deal with the more typical chemical engineering problem-the control of processes with nonlinear, uncertain, nonconstant dynamics and with long and variable transportation delays.In order to deal with this more complex problem it is necessary to incorporate some adaptive mechanism into the part of the algorithm which estimates a model for the process being controlled. It is also necessary to "detune" the control action in an appropriate way to prevent severe overshoot and potential instability of the real nonlinear process. Finally, it is important to reduce the sensitivity of the algorithm to any remaining parameters which must be specified a priori by the operator or control engineer.Only if all the above are achieved is the resulting control algorithm likely to be robust enough to be generally useful in the control of process plants. CONCLUSIONS AND SIGNIFICANCEIt is likely that some form of self-tuning controller will find significant application in the control of time-dependent nonlinear processes within the chemical industry. These controllers have the advantages of simplicity, flexibility, and cornpatability with microcomputer technology, as well as an intuitively satisfying basis.The results of this study have shown that the basic self-tuning algorithm can be modified to produce a version far more robust than the early formulations. The algorithm has been shown to Correspondence concerning this paper should be addressed to L. S. Kershenbaum. B. E. Y&e is presently at Chemical Engineering Department, University of Marsachuset6Amherst. MA 01003.be stable and convergent for linear, time-invariant systems, and requires only a few parameters to be supplied by the operator. Moreover, for a wide range of simulati...

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Theory and Application of Adaptive Control

Unbehauen

1986

Digital Computer Applications to Process Control

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Regulation of River Water Level by Adaptive Control of a Reservoir Trap

Cited by 8 publications

References 1 publication

Robust system identification of an irrigation main canal

Robust system identification of an irrigation main canal

Theory and application of an extended horizon self‐tuning controller

Theory and Application of Adaptive Control

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