Semi-Implicit Euler Realization of Time-Delayed Super-Twisting Algorithm with Modified Smith Predictor

Due to the unavoidable various time delays among the controllers, actuators and sensors in mechatronic systems, which are typically caused by establishing stale communications or time-consuming computations, the closed-loop systems with these delay effects exhibit overshooting, oscillations, and deg...

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Published in:IEEE International Conference on Automation Science and Engineering (CASE) pp. 1 - 6
Main Authors: Xiong, Xiaogang, Zou, Zhenyu, Lou, Yunjiang, Yang, Xiansheng, Zhu, Xu, Zheng, Fuchun
Format: Conference Proceeding
Language:English
Published: IEEE 26.08.2023
Subjects:
Actuators
Delay effects
Implicit-Euler discretization
Prediction algorithms
Sensor systems
Sensors
Smith predictor (SP)
Stability analysis
Steady-state
Super-twisting algorithm (STA)
Time delay
ISSN:2161-8089
Online Access:Get full text
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Abstract Due to the unavoidable various time delays among the controllers, actuators and sensors in mechatronic systems, which are typically caused by establishing stale communications or time-consuming computations, the closed-loop systems with these delay effects exhibit overshooting, oscillations, and degenerated control accuracy. Conventional methods often focus on the stability analysis of control design with a time delay in the continuous time domain and rarely pay close attention to its digital realization in practical systems. This manuscript proposes a novel control strategy based on the super-twisting algorithm (STA) as the second-order sliding mode control (SMC) with the time delay compensated by a modified Smith predictor (MSP). To reduce the numerical chattering, the STA-MSP is discretized and realized by a semi-implicit Euler method, which makes the STA-MSP insensitive to gain overestimation and large iteration periods of closed-loop control. Simulation and experimental results demonstrate that the proposed STA-MSP realization method achieves high performance in terms of control accuracy when there exists a known constant time-delay between the controller and the actuator.
AbstractList Due to the unavoidable various time delays among the controllers, actuators and sensors in mechatronic systems, which are typically caused by establishing stale communications or time-consuming computations, the closed-loop systems with these delay effects exhibit overshooting, oscillations, and degenerated control accuracy. Conventional methods often focus on the stability analysis of control design with a time delay in the continuous time domain and rarely pay close attention to its digital realization in practical systems. This manuscript proposes a novel control strategy based on the super-twisting algorithm (STA) as the second-order sliding mode control (SMC) with the time delay compensated by a modified Smith predictor (MSP). To reduce the numerical chattering, the STA-MSP is discretized and realized by a semi-implicit Euler method, which makes the STA-MSP insensitive to gain overestimation and large iteration periods of closed-loop control. Simulation and experimental results demonstrate that the proposed STA-MSP realization method achieves high performance in terms of control accuracy when there exists a known constant time-delay between the controller and the actuator.
Author Zou, Zhenyu
Lou, Yunjiang
Yang, Xiansheng
Zheng, Fuchun
Zhu, Xu
Xiong, Xiaogang
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  givenname: Xiansheng
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  givenname: Fuchun
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  fullname: Zheng, Fuchun
  email: zhengfuchun@hit.edu.cn
  organization: School of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen,Shenzhen,China,518055
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Snippet Due to the unavoidable various time delays among the controllers, actuators and sensors in mechatronic systems, which are typically caused by establishing...
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SubjectTerms Actuators
Delay effects
Implicit-Euler discretization
Prediction algorithms
Sensor systems
Sensors
Smith predictor (SP)
Stability analysis
Steady-state
Super-twisting algorithm (STA)
Time delay
Title Semi-Implicit Euler Realization of Time-Delayed Super-Twisting Algorithm with Modified Smith Predictor
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