Multiobjective optimization of PID controller of PMSM

DOI10.1155/2014/471609zbMath1293.93360OpenAlexW2095540938WikidataQ59056557 ScholiaQ59056557MaRDI QIDQ740326

Li Zhang, Qingyang Xu, Chengjin Zhang, Chao-Yang Wang

Publication date: 2 September 2014

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/471609

zbMATH Keywords

multiple objectivesclosed-loop controlnon-dominated sorting genetic algorithm II (NSGA-II)optimal PID parameterspermanent magnet synchronous motors (PMSM) servo system

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Application models in control theory (93C95)

Related Items

PMSM rotor position detection based on hybrid optical encoder and R-signal zero-setting scheme, Rotor speed control of a direct-driven permanent magnet synchronous generator-based wind turbine using phase-lag compensators to optimize wind power extraction, Predictive variable gain iterative learning control for PMSM

Uses Software

• NSGA-II

Cites Work

• Performance improvements of a permanent magnet synchronous machine via functional model predictive control
• Stabilization using a discrete fuzzy PDC control with PID controllers and pole placement: application to an experimental greenhouse
• Self-organizing genetic algorithm based tuning of PID controllers
• Combined feedback-feedforward tracking control for networked control systems with probabilistic delays
• Application of combinatorial interaction design for DC servomotor PID controller tuning
• Robust ℋ︁_∞ PID control for multivariable networked control systems with disturbance/noise attenuation