Predictive function optimization control strategy of hydraulic servo system

Zhang, Jiayan; Feng, Xugang; Xiong, Shaokang; Wu, Qiling

doi:10.1109/chicc.2014.6896294

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, GPC consists of predictive model, rolling optimization, and feedback correction [5]. Unlike GPC, the control variable of PFC is a function constructed on process characteristics and tracking setting value [6]. Both of them are good at dealing with control constraints and multiobjective optimization, but massive online calculation limits PFC's wide application in real time occasions.…”

Section: Introductionmentioning

confidence: 99%

Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

Sheng

Ji³

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops. Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response. Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple. To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame. To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calculates the time duration. Moreover, feedback correction is also applied to improve the robustness of the control strategy. The simulation results validate the effectiveness of the algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%