Event-triggered type-2 fuzzy-based sliding mode control for steer-by-wire systems

Mechatronics ◽  
2022 ◽  
Vol 82 ◽  
pp. 102704
Author(s):  
Bingxin Ma ◽  
Yongfu Wang ◽  
Gang Chen
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mode Control ◽  
Steer By Wire ◽  
Event Triggered

Adaptive type-2 fuzzy sliding mode control of steer-by-wire systems with event-triggered communication

2021 ◽  
pp. 095440702199539
Author(s):  
Bingxin Ma ◽  
Yongfu Wang
Keyword(s):  
Sliding Mode Control ◽  
Closed Loop ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Control Input ◽  
Time Varying ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Event Triggered

The steering-by-wire (SbW) system is one of the main subsystems of automatic vehicles, realizing the steering control of autonomous vehicles. This paper proposes an event-triggered adaptive sliding mode control for the SbW system subject to the uncertain nonlinearity, time-varying disturbance, and limited communication resources. Firstly, an event-triggered nested adaptive sliding mode control is proposed for SbW systems. The uncertain nonlinearity is approximated by the interval type-2 fuzzy logic system (IT2 FLS). The time-varying disturbance, modeling error, and event-triggering error can be offset by robust terms of sliding mode control. The key advantage is that the high-frequency switching of sliding mode control only appears on the time derivate of control input without increasing the input-output relative degree of closed-loop SbW systems, such that the chattering phenomenon can be eliminated. Finally, theoretical analysis shows that the practical finite-time stability of the closed-loop SbW system can be achieved, and communication resources in the controller-to-actuator channels can be saved while avoiding the Zeno-behavior. Numerical simulations and experiments are given to evaluate the effectiveness of the proposed method.

scholarly journals Type-2 Fuzzy Modeling and Control of Nonlinear Steer-by-Wire Systems With Actuator Fault and Event-Triggered Communication

2021 ◽  
Author(s):  
Bingxin Ma ◽  
Yongfu Wang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Fuzzy Modeling ◽  
Time Varying ◽  
Actuator Fault ◽  
Modeling And Control ◽  
Steer By Wire ◽  
And Control ◽  
Event Triggered

Abstract This paper proposes the adaptive fuzzy modeling and control method for steer-by-wire (SbW) systems with uncertain nonlinearity, time-varying disturbance, actuator fault, and event-triggered communication. First, the adaptive interval type-2 fuzzy logic system (IT2 FLS) is developed to modeling the uncertain nonlinearity of SbW systems. The Lyapunov-based adaptive law can guarantee the modeling performance of IT2 FLS. Then, considering the limited communication channel bandwidth of the controller-area-network (CAN), the time-varying disturbance, and actuator fault of SbW systems, an event-triggered sliding mode control is proposed for SbW systems. The chattering phenomenon of the sliding mode control system can be eliminated by using the nested adaptive technology. Theoretical analysis shows that the practical finite-time stability of the closed-loop system can be achieved while avoiding the Zeno-behavior. Finally, numerical simulations and vehicle experiments are given to evaluate the effectiveness of the proposed methods.

scholarly journals Event-triggered Discrete-time Sliding Mode Control for High-order Systems via Reduced-order Model Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 6207-6212
Author(s):  
Kiran Kumari ◽  
Bijnan Bandyopadhyay ◽  
Johann Reger ◽  
Abhisek K. Behera
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
High Order ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Mode Control ◽  
Event Triggered ◽  
Model Approach

Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

2016 ◽  
Vol 24 (5) ◽  
pp. 1048-1057 ◽  
Author(s):  
Shiping Wen ◽  
Tingwen Huang ◽  
Xinghuo Yu ◽  
Michael Z. Q. Chen ◽  
Zhigang Zeng
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Communication Delays ◽  
Sampled Data ◽  
Mode Control ◽  
Event Triggered
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