Feng Yinkai, Long Yun, Yao Chong, Song Enzhe
Yantai Research Institute, Harbin Engineering University, Yantai 264000, China.
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel). 2023 Sep 5;23(18):7676. doi: 10.3390/s23187676.
In order to enhance the precision and speed of control for electronic throttle valves (ETVs) in the face of disturbance and parameter uncertainties, an adaptive second-order fixed-time sliding mode (ASOFxTSM) controller is developed, along with disturbance observer compensation techniques. Initially, a control-oriented model specifically considering lumped disturbances within the ETV is established. Secondly, to address the contradiction between fast response and heavy chattering of conventional fixed-time sliding mode, a hierarchical sliding surface approach is introduced. This approach proficiently alleviates chattering effects while preserving the fixed convergence properties of the controller. Furthermore, to enhance the anti-disturbance performance of the ETV control system, an innovative fixed-time sliding mode observer is incorporated to estimate lumped disturbances and apply them as a feed-forward compensation term to the ASOFxTSM controller output. Building upon this, a parameter adaptive mechanism is introduced to optimize control gains. Subsequently, a rigorous stability proof is conducted, accompanied by the derivation of the expression for system convergence time. Finally, a comparison is drawn between the proposed controller and fixed-time sliding mode and super-twisting controllers through simulations and experiments. The results demonstrate the superiority of the proposed method in terms of chattering suppression, rapid dynamic response, and disturbance rejection capability.
为了在面对干扰和参数不确定性时提高电子节气门（ETV）控制的精度和速度，开发了一种自适应二阶固定时间滑模（ASOFxTSM）控制器，并结合了干扰观测器补偿技术。首先，建立了一个专门考虑ETV内集总干扰的面向控制的模型。其次，为了解决传统固定时间滑模快速响应和抖振严重之间的矛盾，引入了分层滑模面方法。该方法在保持控制器固定收敛特性的同时，有效地减轻了抖振效应。此外，为了提高ETV控制系统的抗干扰性能，引入了一种创新的固定时间滑模观测器来估计集总干扰，并将其作为前馈补偿项应用于ASOFxTSM控制器输出。在此基础上，引入参数自适应机制来优化控制增益。随后，进行了严格的稳定性证明，并推导了系统收敛时间的表达式。最后，通过仿真和实验将所提出的控制器与固定时间滑模控制器和超扭曲控制器进行了比较。结果表明，该方法在抑制抖振、快速动态响应和抗干扰能力方面具有优越性。
