期刊
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
卷 19, 期 1, 页码 221-229出版社
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-019-0911-x
关键词
LQI controller; metaheuristic algorithm; PID controller; switched reluctance motor
资金
- CAPES
This paper investigates the design of LQI controllers commonly used in speed control of switched reluctance motors, optimizing parameters with metaheuristic algorithms for quicker controller adjustment. Comparing with PID controllers and selecting the best technique, it validates the effectiveness of hybrid controllers in controlling multivariable systems.
At present, switched reluctance motors (SRM) become very interesting for many industrial applications in variable speed control. For such systems, the linear quadratic regulator with integral action (LQI) method is commonly used when using plants in state spaces due to its robustness and easy adjustment. All methods from the linear quadratic regulator (LQR) project provide a weighting of the Q and R matrices, which are manually adjusted to achieve the desired performance. The manual fine tuning of LQI controller parameters is a difficult task that requires a high level of domain knowledge. In this work, metaheuristic algorithms are explored to design the LQI controller and a comprehensive comparison is made between these algorithms and Proportional-Integral-Derivative (PID) controller as well as to select the best technique for the LQI controller design and adjustment of the Q and R parameters in SR Motor. Simulation and experimental results on a setup prototype are shown to validate the proposed control schemes. This paper has as main contributions the weighting of the parameters of the LQI in an optimized way and adjustment of the gains of the controller more quickly and the hybrid controller (LQI + GA) becomes more powerful in the sense of a possible extension of the control of a multivariable system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据