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Journal ArticleDOI

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

Shaowu Lu, +3 more
- 01 Sep 2013 - 
- Vol. 15, Iss: 5, pp 1325-1336
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This article is published in Asian Journal of Control.The article was published on 2013-09-01. It has received 13 citations till now. The article focuses on the topics: PID controller & Servomechanism.

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Journal ArticleDOI

Adaptive two-degree-of-freedom PI for speed control of permanent magnet synchronous motor based on fractional order GPC.

TL;DR: An adaptive two-degree-of-freedom (2Dof) proportional-integral (PI) controller is proposed for the speed control of permanent magnet synchronous motor (PMSM) and the fractional order generalized predictive control (FOGPC) is introduced to improve the control performance of the servo drive system.
Journal ArticleDOI

Adaptive speed control based on just-in-time learning technique for permanent magnet synchronous linear motor

TL;DR: In this article, an adaptive two degrees of freedom (2Dof) PI controller based on a just-in-time learning (JITL) method is proposed for predictive speed control of permanent magnet synchronous linear motor (PMSLM).
Journal ArticleDOI

Identification and Compensation of Force Ripple in PMSLM using a JITL Technique

TL;DR: In this paper, an adaptive compensation scheme for reducing the force ripple effects in permanent magnet synchronous linear motor (PMSLM) is proposed to improve the servo control performance in industrial applications.
Journal ArticleDOI

Predictive IP controller for robust position control of linear servo system.

TL;DR: To improve the control performance, a gain-tuning IP controller based on a generalized predictive control (GPC) law is proposed and simulation and experimental results are presented to show the efficiency of proposed scheme.
Journal ArticleDOI

Data-based cascade control of permanent magnet synchronous motor with industrial robot application

TL;DR: A cascade control method to achieve accurate position profile-tracking for a field-bus industrial robot using a data-based method, which implies that only process data is directly used for the controller design without system model information.
References
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Journal ArticleDOI

Generalized predictive control—Part I. The basic algorithm

TL;DR: A novel method—generalized predictive control or GPC—is developed which is shown by simulation studies to be superior to accepted techniques such as generalized minimum-variance and pole-placement and to be a contender for general self-tuning applications.
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Design of a Data-Driven PID Controller

TL;DR: A new design scheme of PID controllers based on a data-driven (DD) technique is proposed for nonlinear systems that can adjust the PID parameters in an online manner even if the system has nonlinear properties and/or time-variant system parameters.
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Motion control for a two-wheeled vehicle using a self-tuning PID controller

TL;DR: In this paper, a motion control and stability analysis of a two-wheeled vehicle (TWV) is presented, where the TWV is driven by two independent wheel motors, upon which a vehicle body is mounted.
Journal ArticleDOI

Necessary and sufficient conditions for passivity of the LuGre friction model

TL;DR: This work gives necessary and sufficient conditions for the dissipative nature of friction, which mathematically translates into the requirement of defining a passive operator from velocity to friction force, to hold for the LuGre model.
Journal ArticleDOI

Generalized predictive control using recurrent fuzzy neural networks for industrial processes

TL;DR: Both results from numerical simulations and experiments show that the proposed method is capable of controlling industrial processes with satisfactory performance under setpoint and load changes.
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