Development of an electronic throttle control system

JSAE Review ◽  
1994 ◽  
Vol 15 (4) ◽  
pp. 345-347 ◽  
Author(s):  
T Ibaraki
Keyword(s):  
Control System ◽  
Electronic Throttle ◽  
Electronic Throttle Control

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.

Study and Analysis of Electronic Throttle Control System Applied in Hybrid Electric Vehicle

2014 ◽  
Vol 945-949 ◽  
pp. 1637-1642
Author(s):  
Mao Song Wan ◽  
Zhi Min Wu ◽  
Bing Lin Li ◽  
Li Ya Lv ◽  
Ning Sun ◽  
...  
Keyword(s):  
Control System ◽  
Hybrid Electric Vehicle ◽  
Test Results ◽  
Operation Condition ◽  
Electronic Throttle ◽  
Pid Algorithm ◽  
Dynamic Tracking ◽  
Hybrid Electric ◽  
Vehicle Test ◽  
Electronic Throttle Control

The composition and working principles of the constructed Hybrid Electric Vehicle’s Electronic Throttle Control System are introduced. This paper presents the control strategy, and implements the Electronic Throttle Control System based on Fuzzy PID algorithm. It analyzes the resolution, react characteristics and dynamic tracking performance of the control system, and also discusses the anti-jamming measures under the automotive complex operation condition. The real vehicle test results demonstrate that this electronic throttle control system features better tracking and robustness.

Comparison of Different Controllers for Automotive Electronic Throttle Based on Rapid Control Prototype Technique

2011 ◽  
Vol 130-134 ◽  
pp. 1943-1947
Author(s):  
Xian Ye ◽  
Yi Qiang Peng ◽  
Yan Cui Hui
Keyword(s):  
Control System ◽  
Pid Control ◽  
Electronic Throttle ◽  
Simulation Research ◽  
Automotive Electronic ◽  
Rapid Control ◽  
Adaptive Pid Control ◽  
Better Than ◽  
Fuzzy Adaptive ◽  
Electronic Throttle Control

Due to some nonlinear factors and time delay in electronic throttle, the opening of electronic throttle is difficult to control. For overcoming these difficulties, in this paper a fuzzy adaptive PID controller is designed for an electronic throttle control system. The model of electronic throttle control system is built based on Matlab/Simulink and realized with a hardware-in-the-loop simulation system, which is based on MACS565. Simulation research and experiment results show that, compared with PID control system, the fuzzy adaptive PID control system, has some advantages. The all performance index with the fuzzy adaptive PID control is better than that of the PID control.

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