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

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.

2013 ◽  
Vol 397-400 ◽  
pp. 1064-1068
Author(s):  
Yong Zhang ◽  
Yuan Yao ◽  
Ting Luan

Optimal control of the boiler combustion system is related to the economy and stability of the entire production process. To the problem that the boiler main product steam quality and the safe operation of the boiler optimization control, the fuzzy adaptive algorithm combined with the traditional PID control in the DCS system is proposed. The method optimizes the control system parameters and improves the control program. The simulation results show that the control scheme is better than the traditional PID control, and has good dynamic performance and stability. Both the boiler outlet steam quality and the security operation of boiler are improved.


2011 ◽  
Vol 467-469 ◽  
pp. 152-159 ◽  
Author(s):  
Hong Tao Zhang ◽  
Ji Du He ◽  
Jin Ping Liu

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.


2012 ◽  
Vol 190-191 ◽  
pp. 313-316
Author(s):  
Ling Li ◽  
Zu Hua Fang ◽  
Chun Wang ◽  
Ting Ting Hong ◽  
Jia Jia Li ◽  
...  

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.


2013 ◽  
Vol 336-338 ◽  
pp. 826-832
Author(s):  
Yang Zhang ◽  
Wei Mo

This paper presents a fuzzy adaptive PID control algorithm for the multi-channel temperature control system of injection molding machine. The article describes the structure and control rules of fuzzy adaptive PID controller and the hardware and software implementations of the temperature control system. The experimental result shows that the systems temperature control method has a good control effect on such kind of time-varying hysteretic complex temperature control system of injection molding machine, and it can finally reach the temperature control accuracy of ±1°C within the measuring range of 0~400°C.


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