scholarly journals Barrier Lyapunov Function-Based Adaptive Back-Stepping Control for Electronic Throttle Control System

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 326
Author(s):  
Dapeng Wang ◽  
Shaogang Liu ◽  
Youguo He ◽  
Jie Shen
Keyword(s):  
Control System ◽  
Lyapunov Function ◽  
Control Method ◽  
Mathematic Model ◽  
Electronic Throttle ◽  
Control Approach ◽  
Barrier Lyapunov Function ◽  
Constraint Control ◽  
Non Linear System ◽  
Electronic Throttle Control

This paper presents an adaptive constraint control approach for Electronic Throttle Control System (ETCS) with asymmetric throttle angle constraints. The adaptive constraint control method, which is based on barrier Lyapunov function (BLF), is designed not only to track the desired throttle angle but also to guarantee no violation on the throttle angle constraints. An ETC mathematic model with complex non-linear system is considered and the asymmetric barrier Lyapunov function (ABLF) is introduced into the design of the controller. Based on Lyapunov stability theory, it can be concluded that the proposed controller can guarantee the stability of the whole system and uniformly converge the state error to track the desired throttle angle. The results of simulations show that the proposed controller can ensure that there is no violation on the throttle angle constraints.

Sliding Mode Control of Electronic Throttle Valve

2011 ◽  
Vol 58-60 ◽  
pp. 2505-2510 ◽  
Author(s):  
Rong Di Yuan ◽  
Quan Quan Du ◽  
Hui Zong Feng
Keyword(s):  
Control System ◽  
Lyapunov Function ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Good Control ◽  
Electronic Throttle ◽  
Mode Control ◽  
Control Robustness ◽  
Simulation And Experiment

Electronic throttle is a typical nonlinear device because of the nonlinear reset springs. Normal sliding mode control usually leads to chattering. To reduce chatters, a sliding mode control method based on compensation of nonlinearity is proposed, in which an observer is designed to observe and compensate the nonlinearity. A Lyapunov function was constructed to prove that control system is stable. Simulation and experiment results indicate that the proposed method can reduce chatters and achieve good control robustness.

The Intelligent Scheduling Method of Elevator Group Control Based on Fuzzy Neural Network

2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Scheduling Algorithm ◽  
Mathematic Model ◽  
Group Control ◽  
Fuzzy Neural ◽  
And Performance ◽  
Elevator Group Control

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.

The Automotive Electronic Throttle Control Based on the Non-Linear Torque Observer

2011 ◽  
Vol 467-469 ◽  
pp. 152-159 ◽  
Author(s):  
Hong Tao Zhang ◽  
Ji Du He ◽  
Jin Ping Liu
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Pid Controller ◽  
Electronic Throttle ◽  
Automotive Electronic ◽  
Control Precision ◽  
Non Linear ◽  
Working Principle ◽  
Torque Observer ◽  
Electronic Throttle Control

This paper introduces the structure and working principles of the automotive electronic throttle control system. After analyzing the non-linear factor of the system, mathematical model of the system is built up. And the working principle of non-linear torque observer is described. Then incremental PID controller and non-linear torque compensator were designed and simulated in the matlab/simulink. From the result, we can see that the control precision of incremental PID controller is poor, and it also easily has an overshoot. However, PID controller based on non-linear torque observer has a better tracking performance. It can meet control requirements very well.

Simulation on Electronic Throttle Control System Based on D2P

2012 ◽  
Vol 190-191 ◽  
pp. 313-316
Author(s):  
Ling Li ◽  
Zu Hua Fang ◽  
Chun Wang ◽  
Ting Ting Hong ◽  
Jia Jia Li ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Control Program ◽  
Response Characteristic ◽  
Control Performance ◽  
Electronic Throttle ◽  
Simulink Model ◽  
Electronic Throttle Control

This paper establishes the Simulink model of electronic throttle control system (ETCS) and designs the PID control program of it which based on D2P Motohawk platform. By simulation and experiments, it analyzes the response characteristic of ETCS and determines its algorithm. The PID control strategy based on D2P Motohawk is stable and reliable, and easily implemented in hardware, which improves the control performance of ETCS.

Vibration Control of Suspension System Using Proposed Neural Networks

2006 ◽  
Author(s):  
S¸ahin Yıldırım ◽  
I˙kbal Eski
Keyword(s):  
Control System ◽  
Control Method ◽  
Reference Model ◽  
Active Suspension ◽  
Suspension System ◽  
Neural Controller ◽  
Control Approach ◽  
Robust Model ◽  
Proposed Model ◽  
Model Reference Adaptive

This paper investigates a new robust model based neural controller for active suspension system’s vibrations via feedback control approach. The proposed model reference adaptive control system consists of a neural controller, a robust feedback controller, a third-order linear reference model and dynamics of active suspension system. The simulation examples with various standard input signals are included to demonstrate the effectiveness of the proposed control method and show significant improvement over the existing PID controller method. The robustness of the proposed neural controller is also analyzed with white noise disturbances on the suspension system. It is shown that the control system is robustly stable for all road disturbances. Finally, this kind of control approach could be employed in real time vehicle applications.

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