Qiang Qian;Li Zhang;Zhenghao Wang;Yuying He;Shian Guo;Shaojun Xie;Yong Zhang;Yin Lu
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引用次数: 0
Abstract
For inverter control, delay-reduction methods, such as multisampling and pulse-width modulation with sampling instant shift, are gaining in popularity. The outcome of the arbitrary ratio of the sampling-computation time to the control period greatly challenges z-domain modeling and analysis of the digital control system. Therefore, a generalized discretization method of the state-space model is elaborated by incorporating the definition of a delay-based input matrix. The discrete-time pulse-transfer-function matrix is then derived based on the proposed generalized state-space model (G-SSM), which avoids complicated algebraic calculation of residues and thus facilitates the input–output dynamic analysis via classical control tools, such as Bode diagram or root locus. Additionally, the G-SSM with a constant input matrix is constructed by introducing an augmented state vector, which eases the implementation of modern control theory, such as observer or pole placement. Applications of tools of classical and modern control theory are further investigated from the standpoint of stability identification and parameter tuning, which confirms the effectiveness of the G-SSM in governing the discrete-time small-signal analysis of the arbitrary-delay system. Finally, experiments are conducted on an LCL-filtered grid-tied inverter to validate the correctness of the theoretical expectations.
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.