Inverter Modeling and Current Control System Design for Improving Current Response of PM Synchronous Motor in Overmodulation Range

2006 ◽  
Author(s):  
Lerdudomsak Smith ◽  
Mitsuhiro Kadota ◽  
Shinji Doki ◽  
Shigeru Okuma
Keyword(s):  
Control System ◽  
System Design ◽  
Synchronous Motor ◽  
Current Control ◽  
Control System Design ◽  
Current Response ◽  
Pm Synchronous Motor

scholarly journals Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8222
Author(s):  
Yassine Benômar ◽  
Julien Croonen ◽  
Björn Verrelst ◽  
Joeri Van Mierlo ◽  
Omar Hegazy
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
System Design ◽  
Unscented Kalman Filter ◽  
Current Control ◽  
Cascade Control ◽  
Control System Design ◽  
Machine Model ◽  
Model Based ◽  
Doubly Fed

The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes a new view on the machine equations, allowing the reuse of the standard control system design for conventional synchronous and asynchronous machines: a cascade control system with an inner current control- and outer speed control loop. The assumptions and simplifications made on the machine model allow for a simple, model-based approach to set the controller gains in a brushless doubly fed machine drive system. The cascade control scheme is combined with an Unscented unscented Kalman Filter filter as a state observer, capable of estimating the load torque and losses. The performance of the proposed control system design is checked in simulation and tested in real-time on a low power BDFRM prototype.

scholarly journals Multiobjective Optimal Control of Wind Turbines: A Survey on Methods and Recommendations for the Implementation

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 567
Author(s):  
Adrian Gambier
Keyword(s):  
Control System ◽  
Power Systems ◽  
System Design ◽  
Wind Turbines ◽  
Systems Engineering ◽  
Engineering Application ◽  
Current Control ◽  
Optimization Techniques ◽  
Control System Design ◽  
Large Wind

advanced control system design for large wind turbines is becoming increasingly complex, and high-level optimization techniques are receiving particular attention as an instrument to fulfil this significant degree of design requirements. Multiobjective optimal (MOO) control, in particular, is today a popular methodology for achieving a control system that conciliates multiple design objectives that may typically be incompatible. Multiobjective optimization was a matter of theoretical study for a long time, particularly in the areas of game theory and operations research. Nevertheless, the discipline experienced remarkable progress and multiple advances over the last two decades. Thus, many high-complexity optimization algorithms are currently accessible to address current control problems in systems engineering. On the other hand, utilizing such methods is not straightforward and requires a long period of trying and searching for, among other aspects, start parameters, adequate objective functions, and the best optimization algorithm for the problem. Hence, the primary intention of this work is to investigate old and new MOO methods from the application perspective for the purpose of control system design, offering practical experience, some open topics, and design hints. A very challenging problem in the system engineering application of power systems is to dominate the dynamic behavior of very large wind turbines. For this reason, it is used as a numeric case study to complete the presentation of the paper.

Sign in / Sign up

Export Citation Format

Share Document