Synthesis of PID-type controllers without parametric models: A graphical approach

Li, Yinya; Sheng, Andong; Yuan-gang, Wang

doi:10.1016/j.enconman.2008.01.017

Cited by 21 publications

(20 citation statements)

References 15 publications

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“…) The stabilizing gain domain : Different methods for determining the stabilizing gain domain can be found in literature [24,25,26,27]. However, most of them are aimed at synthesizing the gains of decentralized controllers for theoretical or experimental SISO system models.…”

Section: The Objective Functionmentioning

confidence: 99%

Feedback-controlled lubrication for reducing the lateral vibration of flexible rotors supported by tilting-pad journal bearings

Salazar

Santos

2015

Proceedings of the Institution of Mechanical Engineers, Part J:

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In this work, the feedback-controlled lubrication regime, based on a model-free designed proportionalderivative (PD) controller, is studied and experimentally tested in a flexible rotor mounted on an activelylubricated tilting-pad journal bearing (active TPJB). With such a lubrication regime, both the resulting pressure distribution over the pads and hence the bearing dynamic properties are dynamically modified. The control strategy is focused on reducing the system lateral vibration around its operational equilibrium position in a wide frequency range. For this purpose, servovalves are used as actuators and the flexible rotor lateral movements as feedback control signals. To synthesise the PD controller gains an objective function is optimized in the stabilizing gain domain and then chosen from a subdomain imposed by the servovalves restrictions. The D-decomposition approach expanded to experimentally characterized multi-input multioutput systems is used to determine the stabilizing PD gain domain. The main contribution of this work is to demonstrate the enhancement of the dynamic response of a flexible rotor-bearing system supported by an active TPJB by means of the feedback-controlled lubrication regime featured via PD controllers. Good experimental results are obtained, and a significant improvement of the flexible rotor-bearing system dynamic performance can be experimentally demonstrated.

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Section: The Objective Functionmentioning

confidence: 99%

Feedback-controlled lubrication for reducing the lateral vibration of flexible rotors supported by tilting-pad journal bearings

Salazar

Santos

2015

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…A graphical approach was used to determine the stability region and set the parameters of the controller to achieve an arbitrary-order time delay system. A 3D stabilizing domain must be attained in the parameter space of a PID controller to execute system-stabilization analyses and computations [4][5][6][7][8]. Using the 3D stability region method to determine the operating point range of the controller parameters is simple and intuitive.…”

Section: Introductionmentioning

confidence: 99%

Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

2014

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Abstract:A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID) controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are artificial learning mechanisms that can determine the optimal operating points, and were used to generate the function representing the most favorable operating p i k k − parameters from each parameter of d k for the stability region of the PID controller. A graphical method was used to determine the 2D or 3D vision boundaries of the PID-type controller space in closed-loop wind turbine systems. The proposed techniques were demonstrated using simulations of a drive train model without time delay and a pitch control model with time delay. Finally, the 3D stability boundaries were determined the proposed graphical approach with and without time delay systems.

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“…In this case, the linear controller is similar to a lead/lag compensator, and the closed-loop stabilising gains of the controller are determined from the frequency response functions (FRFs) of the open-loop system. Later, the theory for designing PID controllers was presented [12], whose equations for finding the stabilising gains were formally deduced in [13]. By knowing the gains that stabilise the closed-loop system, one can find sets of gains that optimise any performance criteria, thus achieving closed-loop stability and robustness [14,15].…”

Section: Introductionmentioning

confidence: 99%

PD controller synthesis from open-loop response measurements of rotating system

Buttini

Nicoletti

2012

IET Control Theory &Amp; Applications

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Abstract:In this work, a method of computing PD stabilising gains for rotating systems is presented based on the D-decomposition technique, which requires the sole knowledge of frequency response functions. By applying this method to a rotating system with electromagnetic actuators, it is demonstrated that the stability boundary locus in the plane of feedback gains can be easily plotted, and the most suitable gains can be found to minimise the resonant peak of the system. Experimental results for a Laval rotor show the feasibility of not only controlling lateral shaft vibration and assuring stability, but also helps in predicting the final vibration level achieved by the closed-loop system. These results are obtained based solely on the input-output response information of the system as a whole.

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Synthesis of PID-type controllers without parametric models: A graphical approach

Cited by 21 publications

References 15 publications

Feedback-controlled lubrication for reducing the lateral vibration of flexible rotors supported by tilting-pad journal bearings

Feedback-controlled lubrication for reducing the lateral vibration of flexible rotors supported by tilting-pad journal bearings

Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

PD controller synthesis from open-loop response measurements of rotating system

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