Wang Baigeng, Li Shurong
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, 100876 Beijing, China.
Entropy (Basel). 2022 Dec 9;24(12):1800. doi: 10.3390/e24121800.
The crane-form pipeline (CFP) system is a kind of petrochemical mechanical equipment composed of multiple rotating joints and rigid pipelines. It is often used to transport chemical fluid products in the factory to tank trucks. In order to realize the automatic alignment of the CFP and the tank mouth, the trajectory tracking control problem of the CFP must be solved. Therefore, a saturated nonsingular fast terminal sliding mode (SNFTSM) algorithm is proposed in this paper. The new sliding mode manifold is constructed by the nonsingular fast terminal sliding mode (NFTSM) manifold, saturation functions and signum functions. Further, according to the sliding mode control algorithm and the dynamic model of the CFP system, the SNFTSM controller is designed. Owing to the existence of saturation functions in the controller, the stability analysis using the Lyapunov equation needs to be discussed in different cases. The results show that the system states can converge to the equilibrium point in finite time no matter where they are on the state's phase plane. However, due to the existence of signum functions, the control signal will produce chattering. In order to eliminate the chattering problem, the form of the controller is improved by using the boundary layer function. Finally, the control effect of the algorithm is verified by simulation and compared with the NTSM, NFTSM and SNTSM algorithms. From the comparison results, it is obvious that the controller based on the SNFTSM algorithm can effectively reduce the amplitude of the control torque while guaranteeing the fast convergence of the CFP system state error. Specifically, compared with the NFTSM algorithm, the maximum input torque can even be reduced by more than half.
鹤式管道(CFP)系统是一种由多个旋转接头和刚性管道组成的石化机械设备。它常用于在工厂中将化学流体产品输送到罐车。为了实现CFP与罐口的自动对准,必须解决CFP的轨迹跟踪控制问题。因此,本文提出了一种饱和非奇异快速终端滑模(SNFTSM)算法。通过非奇异快速终端滑模(NFTSM)流形、饱和函数和符号函数构造了新的滑模流形。进一步,根据滑模控制算法和CFP系统的动力学模型,设计了SNFTSM控制器。由于控制器中存在饱和函数,需要分情况讨论使用李雅普诺夫方程进行的稳定性分析。结果表明,无论系统状态在状态相平面上的何处,都能在有限时间内收敛到平衡点。然而,由于符号函数的存在,控制信号会产生抖振。为了消除抖振问题,利用边界层函数改进了控制器的形式。最后,通过仿真验证了该算法的控制效果,并与NTSM、NFTSM和SNTSM算法进行了比较。从比较结果可以明显看出,基于SNFTSM算法的控制器在保证CFP系统状态误差快速收敛的同时,能够有效降低控制转矩的幅值。具体而言,与NFTSM算法相比,最大输入转矩甚至可以降低一半以上。