Design of search space for improving the steady current control performance of PMSM current control system based on model predictive control

2021 ◽  
Author(s):  
Masahiro Shimaoka ◽  
Shinji Doki
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Search Space ◽  
Current Control ◽  
Control Performance ◽  
Steady Current

Model Predictive Control for Tendon-Driven Balloon Actuator under Constraints on Simulation

2015 ◽  
Vol 789-790 ◽  
pp. 615-620
Author(s):  
Jun Ya Nagase ◽  
Kazuki Hamada ◽  
Toshiyuki Satoh ◽  
Norihiko Saga
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Impact Force ◽  
Pneumatic Actuator ◽  
Robot Hand ◽  
Control Performance ◽  
Pneumatic Actuators ◽  
Constrained Model ◽  
High Output

Many pneumatic actuators have been developed in order to be lightweight with high output for decreasing impact force. So far, a pneumatic tendon-driven balloon actuator (balloon actuator) which is compact and lightweight has been developed for a robot hand and a rehabilitation device. However, for pneumatic actuator, it is difficult to maintain exact control because these actuators have constraints. For this study, we developed a stroke control system for a balloon actuator using a constrained model predictive control (MPC) scheme that can consider constraints of the plant output. As described in this paper, we compared and evaluated the control performance using MPC and PID.

scholarly journals A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft

2020 ◽  
Author(s):  
Qi Wang ◽  
Haitao Yu ◽  
Chen Li ◽  
Seang Shen Yeoh ◽  
Xiaoyu Lang ◽  
...  
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Low Complexity ◽  
Current Control ◽  
Switching Frequency ◽  
Computational Burden ◽  
Electric Aircraft ◽  
Starter Generator ◽  
More Electric Aircraft

Modulated model predictive control (M2PC) has recently emerged as a possible solution for control in starter generator systems in the more electric aircraft (MEA), due to its advantages of fixed switching frequency, fast response and good performance. However, conventional M2PC requires the prediction of each possible output voltage vector, which involves a heavy computational burden for the processor, especially for multilevel converters. This is an obstacle for practical industrial applications. To solve this problem this paper introduces a new, low-complexity modulated model predictive control (LC-M2PC) for a starter generator control system with a neutral point clamped (NPC) converter. The proposed LC-M2PC only needs prediction action once in each control interval, which can reduce the computational burden of processor. Fixed switching frequency is maintained and it can achieve a lower total harmonic distortion (THD) current than conventional M2PC, using space vector modulation (SVM). This proposed LC-M2PC method is validated on a prototype electrical starter generator (ESG) system test rig with three-level NPC converter. Experimental results verify the effectiveness of the proposed method.<br>

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