1. School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing 100044, China
Immune Feedback Strategy in an Electronic Throttle Control System
SUN Jian-min1,2, ZHENG Peng-tao1,2
1. School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing 100044, China
摘要The control strategy for improving the emission performance of engine transition condition is explored to enhance the dynamic response characteristics of the electronic throttle control system of automobile engines. A strong nonlinear relationship exists among the return spring, gear backlash, throttle shaft, and throttle body friction of the electronic throttle electromechanical system, thereby affecting the dynamic response characteristics of the engine electronic throttle under various operating conditions. On the basis of the nonlinear electronic throttle electromechanical system, a corresponding mathematical model is established to study the electronic throttle control system. Then, fuzzy and immune feedback control algorithms are applied to the motion control of the electronic throttle system on the basis of intelligent control because of its advantages of strong anti-disturbance ability, strong robustness, and applicability to nonlinear control systems. The immune feedback control algorithm is characterized by a rapid response in the control system. The influence of nonlinearity of the electronic throttle system on the control effect is discussed in this paper. The fuzzy immune PID controller is designed on the basis of the classical control algorithm PID for control precision and response of the system. The fuzzy control algorithm's adaptability to the nonlinear system improves the response performance of the electronic throttle system, and the immune feedback algorithm enhances the response efficiency of the control system. The response characteristics of electronic throttle is further explored. Experimental results show that the response speed of the fuzzy immune PID control system and speed adjustment of the dynamic characteristics of indicators have clear advantages over those of the PID and fuzzy PID control system. The controller is conducive to the improvement of the electronic throttle response characteristics. Improving the power, economy, and emissions of vehicles has important significance.
Abstract：The control strategy for improving the emission performance of engine transition condition is explored to enhance the dynamic response characteristics of the electronic throttle control system of automobile engines. A strong nonlinear relationship exists among the return spring, gear backlash, throttle shaft, and throttle body friction of the electronic throttle electromechanical system, thereby affecting the dynamic response characteristics of the engine electronic throttle under various operating conditions. On the basis of the nonlinear electronic throttle electromechanical system, a corresponding mathematical model is established to study the electronic throttle control system. Then, fuzzy and immune feedback control algorithms are applied to the motion control of the electronic throttle system on the basis of intelligent control because of its advantages of strong anti-disturbance ability, strong robustness, and applicability to nonlinear control systems. The immune feedback control algorithm is characterized by a rapid response in the control system. The influence of nonlinearity of the electronic throttle system on the control effect is discussed in this paper. The fuzzy immune PID controller is designed on the basis of the classical control algorithm PID for control precision and response of the system. The fuzzy control algorithm's adaptability to the nonlinear system improves the response performance of the electronic throttle system, and the immune feedback algorithm enhances the response efficiency of the control system. The response characteristics of electronic throttle is further explored. Experimental results show that the response speed of the fuzzy immune PID control system and speed adjustment of the dynamic characteristics of indicators have clear advantages over those of the PID and fuzzy PID control system. The controller is conducive to the improvement of the electronic throttle response characteristics. Improving the power, economy, and emissions of vehicles has important significance.
基金资助:Supported by the Quota Project for Promoting Connotative Development of Colleges and Universities-Beijing University of Civil Engineering and Architecture Talents(No.21082718034)
通讯作者:
SUN Jian-min
E-mail: sjmlwtx@126.com
引用本文:
孙建民, 郑朋涛. 免疫反馈策略在电子节气门控制中的应用研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(3): 103-110.
SUN Jian-min, ZHENG Peng-tao. Immune Feedback Strategy in an Electronic Throttle Control System. Journal of Highway and Transportation Research and Development, 2019, 13(3): 103-110.
[1] WANG Sheng-xian, BAI Rui, WANG He-bin. Design and Development of Automotive Electronic Throttle Control System[J]. Journal of Liaoning University of Technology:Natural Science Edition, 2016, 36(4):216-221.(in Chinese)
[2] XIE You-hao. "Research on Electronic Throttle Control System of Electric Vehicle Range Extender"[J]. Automotive Technology, 2012(7):26-29. (in Chinese)
[3] WAN Chuan-ping, ZHANG Hai-tao, CHEN Jie-ping et al. Control Design and Simulation of Electronic Throttle on the PID[J]. Journal of Chuxzhou University, 2012, 14(5):25-27. (in Chinese)
[4] AGHABABA M P, KHANMOHAMMADI S, ALIZADEH G. Finite-time Synchronization of Two Different Chaotic Systems with Unknown Parameters via Sliding Mode Technique[J]. Applied Mathematical Modelling, 2011, 35(6):3080-3091.
[5] WANG C H, HUANG D Y. A New Intelligent Fuzzy Controller for Nonlinear Hysteretic Electronic Throttle in Modern Intelligent Automobiles[J]. IEEE Transactions on Industrial Electronics, 2013, 60(6), 2332-2345.
[6] LIU Shang, TONG Liang, XIE Ming-wei et al. Design of Back-stepping Sliding Mode Controller for Electronic Throttle[J]. Science Technology and Engineering, 2017, 17(3):114-120,144. (in Chinese)
[7] ZHANG Bang-ji, CHEN Zhi-qiang, TIAN Yang et al. Optimal Preview Position Control for Electronic Throttle[J]. Journal of Agriculture Machinery, 2017, 48(4):349-354. (in Chinese)
[8] QIN Yang-yang, WU Guan-qiang, GUO Xiao-xiao. Model Predictive Control Study of Electronic Throttle Based on Laguerre Functions[J]. Automobile Technology, 2017(1):33-37,51. (in Chinese)
[9] ZANG Huai-chun, CAO Xue-ming, Zhang Nai-si et al. Fuzzy Neural Network Fractional-order PID Control of Electronic Throttle Based on PSO Optimization Algorithm[J]. Journal of Yanshan University, 2014, 38(4):354-360,376. (in Chinese)
[10] LI Chen, LI Xing-hu, JIN Jie. "Fuzzy Control of Tractor-semitrailer Cornering Braking Stability"[J]. Journal of Highway and Transportation Research and Development, 2014, 31(11):147-152. (in Chinese)
[11] YANG Wen-chen, ZHANG Lun, HE Zhao-cheng. Matlab & VC++ Hybrid Programming and Its Application in Two-stage Fuzzy Control for Urban Traffic Signals[J]. Journal of Highway and Transportation Research and Development, 2012, 29(9):123-128. (in Chinese)
[12] WU Xiao-gang, WANG Xu-dong, SUN Jin-lei et al. Research on Particle Swarm Optimization Fuzzy Control for ISG Hybrid Electric Vehicle[J]. Journal of Highway and Transportation Research and Development, 2011, 28(6):146-152. (in Chinese)
[13] CHEN Xiang, SONG Qing-yang, LIU Xin-cheng. Research on Vibrating Control of 4-DOF Active Suspension with Improved Fuzzy PID Controller[J]. Journal of Highway and Transportation Research and Development, 2009, 26(2):129-133. (in Chinese)
[14] KU Shuo, DING Da-li, HUANG Chang-qiang et al. Attitude Control of UCAV Based on Adaptive Fuzzy PID[J]. Computer Engineering and Applications, 2018,54(20):223-229. (in Chinese)
[15] HOU Li-chun. Simulative Analysis of an Electronic Throttle PID Fuzzy Control System[J]. Automobile Technology, 2015(11):44-46,51. (in Chinese)
[16] HU Yun-feng, LI Chao, LI Jun et al. Observer-based Output Feedback Control of Electronic Throttles[J]. Acta Automatica Sinica, 2011, 37(6):746-754. (in Chinese)
[17] LI Hong-bin, ZHANG Cheng-rui. A Fuzzy Immune PSD Control Approach to Pneumatic Clutch of the Heavy Trucks[J]. Journal of Highway and Transportation Research and Development, 2006,23(3):151-154. (in Chinese)
[18] SUN Tao. A Study of the Intelligent Control Mathematic Based on Fuzzy Immune Adaptive PID[D]. Dalian:Dalian Maritime University, 2009. (in Chinese)
[19] LI Jun-lin. Artificial Immune Algorithm in the Application of the Underwater Robot Motion Control Strategy[J]. Ship Science and Technology, 2017, 39(4):192-194.
2019, Vol. 13 
