A design of neural-net based predictive PID controllers

Asano, M.; Yamamoto, Toru; Oki, Toshitaka; Kaneda, Masahiro

doi:10.1109/icsmc.1999.812566

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…In order to solve the problem considering the accuracy of the controlled model, many PID controllers based on a generalized predictive control (GPC) law have been proposed to improve the performance of the control system [12,13]. A GPC law is a model-based controller not requiring extra compensators, and has been successfully implemented in many industrial applications [14–17].…”

Section: Introductionmentioning

confidence: 99%

Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC

Lü

Tang

Song

2012

Sensors

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To enhance the control performance of permanent magnet synchronous motors (PMSMs), a generalized predictive control (GPC)-based proportional integral feedforward (PIF) controller is proposed for the speed control system. In this new approach, firstly, based on the online identification of controlled model parameters, a simplified GPC law supplies the PIF controller with suitable control parameters according to the uncertainties in the operating conditions. Secondly, the speed reference curve for PMSMs is usually required to be continuous and continuously differentiable according to the general servo system design requirements, so the adaptation of the speed reference is discussed in details in this paper. Hence, the performance of the speed control system using a GPC-based PIF controller is improved for tracking some specified signals. The main motivation of this paper is the extension of GPC law to replace the traditional PI or PIF controllers in industrial applications. The efficacy and usefulness of the proposed controller are verified through experimental results.

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Section: Introductionmentioning

confidence: 99%

Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC

Lü

Tang

Song

2012

Sensors

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“…Generalized predictive control (GPC), based on a linear model, has been widely accepted as an advanced control strategy . Many PID controllers based on a GPC law have been proposed to improve the performance of control systems . Therefore, applying GPC into a 2 DOF PI controller can guarantee control performance and also tune control parameters automatically according to the characteristic changes of controlled process.…”

Section: Introductionmentioning

confidence: 99%

Gpc‐Based Self‐Tuning PI Controller for Speed Servo System of PMSLM

Lü¹,

Tang

Song

et al. 2013

Asian Journal of Control

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In this paper, a generalized predictive control (GPC)‐based two degrees of freedom (2 DOF) proportional integral (PI) controller is proposed for the speed servo system of a permanent magnet synchronous linear motor (PMSLM). In this new approach, based on a dynamic model of a servo system, a simplified and high‐performance GPC supplies a 2 DOF PI controller with suitable control parameters, according to the varied operating conditions. In previous studies, GPC‐based proportional integral derivative (PID) controllers have been designed using a step‐type or ramp‐type reference input. In our work, however, the speed command for PMSLM usually is required to be a trapezium‐type signal because of the limited travel range. Hence, control performance of a speed servo system using a GPC‐based 2 DOF PI controller is enhanced for tracking a trapezium‐type command. The validity and usefulness of the proposed controller are verified through simulation and experiments.

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Strongly stable GPC-based PID controller

Satô

2009

IJAMECHS

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A design of neural-net based predictive PID controllers

Cited by 3 publications

References 11 publications

Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC

Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC

Gpc‐Based Self‐Tuning PI Controller for Speed Servo System of PMSLM

Strongly stable GPC-based PID controller

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