Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC

Abstract

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.

Humidity Threshold Model of Numerical Control Multilayer Printed Circuit Board for Electrochemical Migration

“…To study the statistical relationship between them, Equation can be employed as the simple linear regression model. Then the regression model is solved using the least square method on the basis of the experimental data of samples . In the meantime, goodness of fit test (determine coefficient) is given.…”

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

“…These potential disadvantages limit the real application of the rule-based strategies [4,14]. From the perspective of simplicity and feasibility, the model-based self-tuning strategies appear to be more suitable for the real-time applications [8]. Among which, generalized predictive control (GPC) has been widely utilized to adjust the controller parameters [15][16][17].…”

Robust distributed control of reactive power in a hybrid wind‐diesel power system with STATCOM

“…Therefore, finding the best way for setting the parameters is one of the control system designers' apprehensions. Hence, different control algorithms were applied in order to find the best controller parameters to obtain system stability in the presence of system parametric uncertainties …”