Prescribed Performance Control of Mobile Wheeled Inverted Pendulum Systems Under Arbitrary Initial Conditions

Mengshi Zhang, Yu Cao, Bo Yang, Jian Huang
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Abstract

Mobile wheeled inverted pendulum (MWIP) is a typical naturally unstable underactuated system and it is very necessary to constrain its transient response to improve the overall safety. Prescribed performance control (PPC) is an effective method, however the system initial conditions are usually required to be known and constraint, otherwise it can lead to singularity problems. In practical systems, it is often difficult to obtain the exact initial state leading to limitations in the application of PPC. To overcome this issue, this paper presented a composite error transformation function to address the problem of initial condition dependence. A continuous bounded function was designed to compress the arbitrary initial error into the predefined bound to avoid singularities. After a set time, it was degraded to an original system error. Based on this composite transformation, a state feedback controller was proposed for the underactuated MWIP system to achieve the constraint outputs. Then, by employing the Lyapunov theorem, it was guaranteed that the closed-loop system would remain stable. Various numerical simulations under different initial conditions were carried out to prove the validity of the proposed controller.
任意初始条件下移动轮式倒立摆系统的规定性能控制
移动轮式倒立摆是典型的自然不稳定欠驱动系统,为提高整体安全性,有必要对其瞬态响应进行约束。规定性能控制(PPC)是一种有效的控制方法,但通常要求系统初始条件已知并有约束,否则会导致奇异性问题。在实际系统中,往往难以获得精确的初始状态,从而限制了PPC的应用。为了克服这一问题,本文提出了一种复合误差变换函数来解决初始条件依赖问题。设计了连续有界函数,将任意初始误差压缩到预定义界中,避免了奇异性。一段时间后,降级为原始系统错误。在此复合变换的基础上,提出了欠驱动MWIP系统的状态反馈控制器,以实现约束输出。然后,利用李雅普诺夫定理,可以保证闭环系统保持稳定。通过不同初始条件下的数值仿真,验证了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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