Multivariable tuning regulators for unknown systems

Penttinen, J.; Koivo, H.N.

doi:10.1016/0005-1098(80)90023-0

Cited by 122 publications

(33 citation statements)

References 5 publications

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“…Linear models, if they are available can also be used to improve the control design. Among the most common non-parametric PID tuning methods there are : Davison method [25], PenttinenKoivo method [26] , Maciejowski method [27] and the combined method proposed by [28] that combines ideas from the three methods. In this paper, the best values for the PID gains are found using the above multivariable non-parametric PID tuning methods as described in [29].…”

Section: Pid Tuningmentioning

confidence: 99%

Modeling and Supervisory Control Design for a Combined Cycle Power Plant

Abokhatwa¹,

Katebi²

2012

Software Engineering / 781: Control Applications

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The traditional control strategy based on PID controllers may be unsatisfactory when dealing with processes with large time delay and constraints. This paper presents a supervisory model based constrained predictive controller (MPC) for a combined cycle power plant (CCPP). First, a non-linear dynamic model of CCPP using the laws of physics was proposed. Then, the supervisory control using the linear constrained MPC method was designed to tune the performance of the PID controllers by including output constraints and manipulating the set points. This scheme showed excellent tracking and disturbance rejection results and improved performance compared with a stand-alone PID controller's scheme. KEY WORDSCombined cycle power plant, PID Control, Linearization, Supervisory Model Predictive Control.

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Section: Pid Tuningmentioning

confidence: 99%

Modeling and Supervisory Control Design for a Combined Cycle Power Plant

Abokhatwa¹,

Katebi²

2012

Software Engineering / 781: Control Applications

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“…The early work includes a method for tuning the integral part of the multivariable PID controller developed by Davidson (1976). Pentinnen and Koivo (1980) proposed a method for tuning the P and I parts of the multivariable PID controller. The limitation of these methods is that some experimental and graphical procedures are required, which can be rather time consuming.…”

Section: Introductionmentioning

confidence: 99%

A stable self-learning PID control for multivariable time varying systems

Chang

2007

Control Engineering Practice

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“…Since the parameters, a^, b^, and b^, are to be determined adaptively, Using the integer, £, which is given by we write equations (16) in terms of l and 6 as:…”

Section: (The Bracket Notation Indicatesmentioning

confidence: 99%

“…The choice of appropriate values of and is commonly [16] made in accordance with the Ziegler-Nichols guidelines [17], For a single input single output system in which the process is as assumed in equation (1), the ZieglerNichols criteria recommend: The z-transform corresponding to equation (3) [18] is: ( 17) where Z is the next larger integer than taking the integer part).…”

Section: Formentioning

confidence: 99%