Predictive Performance Control And Experimental Study Of Electronic Throttle Considering Saturating Constraints

As a core part of automotive engine control systems,electronic throttle control systems play an important role in vehicle emissions and fuel economy.However,in actual electronic throttle systems,there are actuator saturation constraints,strong nonlinearities such as friction,return springs,gear gaps,etc.and system parameter uncertainties due to incomplete known physical parameters and device aging factors.It greatly increases the difficulty of control design and greatly affects system control performance.Therefore,the advanced controller design technology that can better overcome the influence of unfavorable factors and meet the requirements of higher dynamic and static performance is the focus of automotive electronic throttle control system.To this end,this thesis uses the preset performance control technology to study the electronic throttle opening position tracking control problem,and guarantees the system transient and steady-state performance requirements through the reasonable selection of the performance function parameters in the preset performance.Aiming at the nonlinearity of the system,the nonlinear Backstepping recursive method is combined with the preset performance technology to design the tracking controller.At the same time,in order to preset the practicality of the performance controller,the auxiliary system state is added to the controller design to handle the actuator saturation constraint.Aiming at the parameter uncertainty existing in the system,the prescribed performance servo control system was designed based on particle swarm optimization(PSO)parameter offline identification.The controller designed based on PSO algorithm parameter identification needs to operate offline,so that the electronic throttle control system lacks real-time adjustment capability.Once the operating conditions cause large changes in system parameters,it will affect the control effect of the controller;Therefore,adaptive technology is used to design the preset performance controller.The on-line adjustment of the parameters allows real-time adjustment of the controller parameters,ensuring the robustness of the control performance of the system under different operating conditions.The effectiveness and applicability of the two servo controllers designed are experimentally analyzed and compared on the dSPACE-based hardware-in-the-loop simulation platform.