Lefei Ge;Zizhen Fan;Jiaxin Zhang;Guilin Sun;Senyi Liu;Dianxun Xiao;Shoujun Song
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引用次数: 0
Abstract
Serious torque ripple restricts the application advantage of the switched reluctance machine (SRM). Moreover, the nonlinear characteristics of SRM lead to the complexity of torque control. A torque ripple suppression method based on flux-linkage control is proposed in this Letter. We modeled a novel piecewise linear flux-linkage profile to achieve indirect torque control. The ant lion optimizer algorithm is adopted to optimize the flux-linkage change rate to achieve minimum torque ripple. The optimal flux-linkage profile is then applied to model predictive control to control the phase flux-linkage. This method avoids multistep torque prediction. It effectively reduces the calculation effort and improves the reliability of predictive control. The experimental results confirmed the effectiveness of the proposed method.
期刊介绍：
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.
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