Wu Lipu, Li Zhen, Liu Shida, Li Zhijun, Sun Dehui
School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China.
Sci Prog. 2023 Oct-Dec;106(4):368504231210361. doi: 10.1177/00368504231210361.
To solve the time-delay problem and actuator saturation problem of nonlinear plants in industrial processes, an improved compact-form antisaturation model-free adaptive control (ICF-AS-MFAC) method is proposed in this work. The ICF-AS-MFAC scheme is based on the concept of the pseudo partial derivative (PPD) and adopts equivalent dynamic linearization technology. Then, a tracking differentiator is used to predict the future output of a time-delay system to effectively control the system. Additionally, the concept of the saturation parameter is proposed, and the ICF-AS-MFAC controller is designed to ensure that the control system will not exhibit actuator saturation. The proposed algorithm is more flexible, has faster output responses for time-delay systems, and solves the problem of actuator saturation. The convergence and stability of the proposed method are rigorously proven mathematically. The effectiveness of the proposed method is verified by numerical simulations, and the applicability of the proposed method is verified by a series of experimental results based on double tanks.
为解决工业过程中非线性对象的时滞问题和执行器饱和问题,本文提出了一种改进的紧凑型抗饱和无模型自适应控制(ICF-AS-MFAC)方法。ICF-AS-MFAC方案基于伪偏导数(PPD)的概念,并采用等效动态线性化技术。然后,使用跟踪微分器预测时滞系统的未来输出,以有效控制系统。此外,提出了饱和参数的概念,并设计了ICF-AS-MFAC控制器,以确保控制系统不会出现执行器饱和现象。所提算法更加灵活,对时滞系统具有更快的输出响应,并解决了执行器饱和问题。从数学上严格证明了所提方法的收敛性和稳定性。通过数值仿真验证了所提方法的有效性,并通过基于双容水箱的一系列实验结果验证了所提方法的适用性。