Yixuan Gao;Zhonggang Yin;Yanping Zhang;Hui Yang;Cong Bai
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引用次数: 0
Abstract
The double closed-loop architecture is a universal control structure for speed servo systems. However, in multiloop architecture, the inner-loop limits the response speed of the outer-loop. To this end, a finite-time control strategy suitable for the speed current single-loop control structure is proposed to enhance the dynamic performance of the overall loop. First, compared with the dual-loop architecture, single-loop state estimator needs to be designed with higher order, which will lead to a larger estimation peak. Meanwhile, the estimation pressure of single-loop estimator is higher due to the need to consider both matched and unmatched disturbances. Therefore, a hybrid cascaded finite-time state estimator is proposed to alleviate the estimation pressure and peak phenomenon. In addition, the high-order finite-time state estimator uses only the low-order state estimation error for feedback adjustment when estimating the high-order state, and the output speed of the estimator is limited due to the output value passing through the pure integrator. Consequently, a hybrid cascaded differential compensation finite-time composite controller is further proposed to enhance the performance of the control system. Finally, the effectiveness and superiority of the proposed method were experimentally verified.
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.