Research On Electronic Throttle Control Algorithm Based On T-S Model

With the rapid development of China's economy,the number of automobiles is increasing year by year.People not only pursue the power and stability of automobiles,but also put forward higher requirements on economy,safety,fuel consumption and emissions.As a valve to control the air intake of the engine,the throttle is an important component to control the optimal air-fuel ratio when the engine is working.Compared with traditional mechanical throttles,electronic throttles can achieve more precise opening control under different operating conditions,thereby controlling the amount of air intake and engine fuel injection system to achieve the best air-fuel ratio,further improving the power and stability of the car,Reduce fuel consumption and reduce pollutant emissions.By analyzing the nonlinear characteristics and actual disturbance of the electronic throttle control system,a dynamic mathematical model is established,and the fuzzy control algorithm based on the T-S model is studied to improve the performance of the electronic throttle closed-loop control system.This article first analyzes the basic structure and working principle of the electronic throttle control system,focusing on the nonlinear characteristics of the electronic throttle system due to the mechanical structure,including nonlinear return springs,nonlinear friction,gear clearance and intake airflow Non-linear disturbance caused by impact on electronic throttle valve.According to the dynamic analysis,the mathematical model and simulation model of the electronic throttle control system are established,and the physical parameters of the model are obtained through experiments and literature review.Aiming at the non-linear characteristics of electronic throttle and the disturbance and parameter perturbation problems under actual working conditions,a fuzzy PID control strategy based on TS model is proposed.According to the successful control experience of electronic throttle PID control strategy,combined with TS model The fuzzy control theory finally determines the membership function and fuzzy rules to complete the design of the controller.The simulation results show that compared with the conventional PID control strategy,the TS-type fuzzy control strategy can effectively overcome the non-linear characteristics of the electronic throttle control system,and still maintain a good steady state and the system under the influence of external interference and parameter perturbation.The dynamic performance has the advantages of no overshoot,no vibration,high control accuracy and strong robustness.In order to solve the deviation of manually selected fuzzy rules and membership functions,a fuzzy control parameter optimization algorithm based on adaptive neural network is proposed,and the self-learning ability of the neural network is used to optimize the fuzzy rules,membership function distribution and output function in the fuzzy controller,To further improve the performance of the controller and improve the control accuracy.It can be seen from the training results of the neural network that the algorithm effectively optimizes the fuzzy rules of the T-S fuzzy PID and adjusts the distribution of membership functions.The simulation results show that the optimized control strategy has faster adjustment time and smaller steady-state error than the T-S fuzzy PID control strategy.