Abstract
This paper investigates the performance of two different adaptive control schemes for controlling the angular position of an electronic throttle (ET) plate. The adaptive backstepping controller and adaptive sliding mode backstepping controller are the controllers under consideration. The control design based on these adaptive controllers is firstly addressed and the stability analysis of each controller has been presented and the convergence of both position and estimation errors for both controllers have been proved. A comparison study of the performance of both controllers has been conducted in terms of system transient characteristics and the behavior of their associated adaptive gain. The simulation has been implemented within the environment of the MATLAB package.
Highlights
Internal combustion engines require the regulation of airflow to control engine output speed, output torque, spark timing and the air-fuel ratio
The main contribution is to two adaptive control algorithms based on the design of adaptive backstepping control strategy and develop two adaptive control algorithms based on the design of adaptive backstepping control the design of adaptive backstepping-based sliding mode control scheme, for angular position control strategy and the design of adaptive backstepping-based sliding mode control scheme, for angular of electronic throttle valve plate
The second contribution is to prove the stability of the electronic position control of electronic throttle valve plate
Summary
Internal combustion engines require the regulation of airflow to control engine output speed, output torque, spark timing and the air-fuel ratio. Chen et al (2012) proposed an adaptive fuzzy logic based sliding mode controller to enhance the control strategy robustness with respect to parameter variations and external disturbances for electronic throttle [12]. Jiao et al (2018) designed and implemented an adaptive finite time servo control strategy for real electronic throttle valve systems. This work has presented an integrated framework of the adaptive backstepping algorithm based on the stability theory of finite convergence time to guarantee the trajectory tracking of throttle valve opening [16]. Yang et al (2018) proposed a new novel nonlinear controller for electronic throttle valve systems with an unknown state and disturbance level. Design of robust adaptive sliding mode (RASM) control scheme has been developed to adapt, estimate and compensate nonlinearities due to gear backlash, return-spring limp frictions and parameter uncertainties. 3. control, To copewhere the unknown (upper bounded) disturbance upper bound isexerted needed.disturbance based on adaptive backstepping control, where disturbance upper bound is needed.disturbance using adaptive sliding mode
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