Networked control strategy of dual linear switched reluctance motors based time delay tracking system

Author(s):  
Li Qiu ◽  
Lun He ◽  
Longcheng Dai ◽  
Chen Fang ◽  
Zihao Chen ◽  
...  
2013 ◽  
Vol 441 ◽  
pp. 833-836
Author(s):  
Zai Ping Chen ◽  
Xue Wang

According to the random time-delay exist in sensor-controller channel and controller-actuator channel in networked control systems, an adaptive predictive control strategy was proposed. In this control strategy, an improved generalized predictive control algorithm is adopted to compensate the networked random time-delay. In addition, using the recursive least squares with a variable forgetting factor algorithm to indentify the model parameters of controlled object on-line, through the way, it could adjust the systems with unknown parameters adaptively. Simulation results show that the adaptive predictive control proposed could solve random time-delay of networked control systems effectively.


1995 ◽  
Vol 31 (5) ◽  
pp. 1088-1095 ◽  
Author(s):  
P.C. Kjaer ◽  
P. Nielsen ◽  
L. Andersen ◽  
F. Blaabjerg

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 322
Author(s):  
Mauro Victorio ◽  
Arman Sargolzaei ◽  
Mohammad Reza Khalghani

Networked control systems (NCSs) are designed to control and monitor large-scale and complex systems remotely. The communication connectivity in an NCS allows agents to quickly communicate with each other to respond to abrupt changes in the system quickly, thus reducing complexity and increasing efficiency. Despite all these advantages, NCSs are vulnerable to cyberattacks. Injecting cyberattacks, such as a time-delay switch (TDS) attack, into communication channels has the potential to make NCSs inefficient or even unstable. This paper presents a Lyapunov-based approach to detecting and estimating TDS attacks in real time. A secure control strategy is designed to mitigate the effects of TDS attacks in real time. The stability of the secure control system is investigated using the Lyapunov theory. The proposed TDS attack estimator’s performance and secure control strategy are evaluated in simulations and a hardware-in-the-loop environment.


2010 ◽  
Vol 25 (11) ◽  
pp. 2807-2819 ◽  
Author(s):  
Yan Yang ◽  
Zhiquan Deng ◽  
Gang Yang ◽  
Xin Cao ◽  
Qianying Zhang

Author(s):  
S W Zhao ◽  
N C Cheung ◽  
W C Gan ◽  
J M Yang

Trajectory control is an essential element in advanced manufacturing processes. For demanding direct-drive applications, a linear switched reluctance motor (LSRM) has become a potential candidate because of its low cost and simple structure. However, the inherent non-linearities of the LSRM cause difficulties in its controller design. Recently, a few complicated control approaches and schemes have been proposed to overcome the non-linear characteristics, but they need precise modelling, and their algorithms are hard to realize. This article describes a simple and effective design of the feedback control for the trajectory control of the LSRM driving system, and some of its practical aspects. In the proposed control algorithm, the whole driving system is decomposed into two subsystems with different time scales by using the two-time-scale analysis. On the basis of this method, the position controller and current controllers are designed for the two subsystems, respectively. In this way, the controller structure is simplified and the whole tracking system can be designed tractable. Furthermore, a modified proportional-differential controller is proposed for tracking the sinusoid wave. This article includes modelling analysis, simulation results, and detailed experimental implementation as well.


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