Parameter-adaptive control with configuration aids and supervision functions

Isermann, Rolf; Lachmann, K.-H.

doi:10.1016/0005-1098(85)90037-8

Cited by 110 publications

(12 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The phase portrait is a practical way to know if a process oscillation is stable or not, when the relay feedback is applied. Suppose the plant described in equation (3).The phase portrait of equation (3) obtained during the relay experiment is shown in the figure 1(a) . We can observe in the phase portrait that exists a stable limit cycle.…”

Section: Stability Of Limit Cyclementioning

confidence: 99%

“…A very important advance was made when it was decided to use the frequency response of a process instead of its time response, in this way a bigger degree of automation was attained. The first industrial PID controller based on processes' frequency response, was the Novatune [1], which initialized a PID controller automatically.Applications based on PID controllers using frequency response were very successful [1] [2] [3], however the range of their applicability is restricted to asymptotically stable systems, due to the use of the relay feedback. By using M.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…Applications based on PID controllers using frequency response were very successful [1] [2] [3], however the range of their applicability is restricted to asymptotically stable systems, due to the use of the relay feedback. By using evolutionary meta heuristics, like Genetic Algorithms (GA), it is possible to expand the application range of PID controllers to systems with oscillatory or unstable modes.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Proportional-Integral-Derivative Controllers Tuning for Unstable and Integral Processes Using Genetic Algorithms

Paz-Ramos

Torres-Jiménez

Quintero-Marmol-Marquez

2004

Computational Science - ICCS 2004

View full text Add to dashboard Cite

Abstract. During the last years the use of intelligent strategies for tuning Proportional-Integral-Derivative (PID) controllers has been growing. The evolutionary strategies have won an important place thanks to their flexibility. In this paper, the automatic tuning of systems with scarce initial information and integrative and unstable dynamics, through a genetic approach is presented. The advantages of the proposed approach were highlighted through the comparison with the Ziegler-Nichols modified closed loop method, and the Visioli genetic approach. The proposed methodology goal is to expand the intelligent tuning application to a wider range of processes (covering systems with oscillatory or unstable modes).Keywords: PID Controllers, Genetic Algorithms.The first attempts to automate the tuning of Proportional-Integral-Derivative (PID) controllers were based on the time response of a process, but this approach had the drawback of requiring a lot of user interaction. A very important advance was made when it was decided to use the frequency response of a process instead of its time response, in this way a bigger degree of automation was attained. The first industrial PID controller based on processes' frequency response, was the Novatune [1], which initialized a PID controller automatically.Applications based on PID controllers using frequency response were very successful [1] [2] [3], however the range of their applicability is restricted to asymptotically stable systems, due to the use of the relay feedback. By using M.

show abstract

Section: Stability Of Limit Cyclementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Proportional-Integral-Derivative Controllers Tuning for Unstable and Integral Processes Using Genetic Algorithms

Paz-Ramos

Torres-Jiménez

Quintero-Marmol-Marquez

2004

Computational Science - ICCS 2004

View full text Add to dashboard Cite

show abstract

“…The fundamental reason for this insufficiency is the violation of some conditions for the correct functioning of the overall system, either from the starting -up or during the operation [2], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Expert System For An Adaptive Real-time Control With Supervisory Functions

Martínez

Picó²,

Morant³

Singapore International Conference on Intelligent Control and Instrumentation [Proceedings 1992]

View full text Add to dashboard Cite

It is known that it is possible to find a suitable combination of control and parameter estimation algorithms such that the overall system achieves a set of satisfactory performances, assuming that certain conditions for stability and convergence are satisfied. Some authors have proposed the development of a third level, the so-called supervisory level, which have two different goals 1) to check on-line the aforementioned conditions and 2) to take the adequate actions in order to assure a good functioning of the overall system when some of these conditions fail. In this paper we analyze the information set need at this level in order to take the appropriate actions. Practical considerations about the implementation of this level using classical languages and Artificial Intelligence tools are showed.

show abstract

MAR: A multiprocessor adaptive regulator

Bonivento

Melchiorri

1989

Adaptive Control & Signal

View full text Add to dashboard Cite

The present state of the multiprocessor adaptive regulator (MAR) project, a prototype controller developed at the University of Bologna, is presented. The controller is designed in a distributed environment, based on the following components: a VME bus hardware, MC68000 CPU boards and DRM, a distributed real-time operating system. The project is carried out in the framework of a research programme between DEIS and Philips Italia, I&E Division. MAR represents a significant evolution of previous experiences at DEIS in the implementation of self-tuning regulators, developed both on 8-bit and 16-bit monoprocessor configurations. The prototype software is supported by the concept of a 'software machine' (SOMA) running on a 'hardware machine' (HAMA) typical of the DRM system. Particular attention is given to the definition of a user-friendly interface and to the development of supervisory features in order to obtain well-conditioned and robust performances. These features mainly deal with controller start-up, parameter estimator wind-up and actuator wind-up. Two adaptive control policies are presently available, i.e. pole-zero placement and minimum variance control. Experiments showing the implemented functions and results obtained from different SOMA distributions are presented and discussed.

show abstract

Parameter-adaptive control with configuration aids and supervision functions

Cited by 110 publications

References 10 publications

Proportional-Integral-Derivative Controllers Tuning for Unstable and Integral Processes Using Genetic Algorithms

Proportional-Integral-Derivative Controllers Tuning for Unstable and Integral Processes Using Genetic Algorithms

Expert System For An Adaptive Real-time Control With Supervisory Functions

MAR: A multiprocessor adaptive regulator

Contact Info

Product

Resources

About