基于多变量超扭转算法的鲁棒无超调跟踪与模型跟踪控制器

Siddhartha Ganguly, M. K. Bera, P. Roy
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引用次数: 1

摘要

针对一类不确定多输入多输出(MIMO)线性时不变(LTI)系统,设计了基于多变量超扭转算法(MSTA)的鲁棒跟踪与模型跟踪(RTMF)控制器。通过定义具有理想响应特性的模型来获得不确定对象的期望行为,并设计了基于MSTA的控制器,保证了不确定对象输出与模型之间误差的渐近收敛。为了保证系统在无超调跟踪时具有良好的瞬态响应,建立了基于非超调控制技术的模型。鲁棒超扭转滑模控制器通过忠实地跟踪模型响应,以连续控制来抑制干扰,从而帮助实现期望的系统性能。最后,通过考虑MIMO四缸过程(QTP)的数值模拟对该策略进行了验证。仿真结果验证了所提RTMF控制器的有效性。
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Robust Non-overshooting Tracking and Model Following Controller using Multi-variable Super-twisting Algorithm
This paper presents the design of robust tracking and model following (RTMF) controller based on multivariable super-twisting algorithm (MSTA) for a class of uncertain multi-input multi-output (MIMO) linear-time invariant (LTI) systems. The desired behavior of the uncertain plant is achieved by defining a model with ideal response characteristics, and a controller based on MSTA is designed so that the asymptotic convergence of error between the output of the plant and model can be guaranteed. To ensure the good transient response while tracking without overshoot, a model has been developed based on non-overshooting control technique. The robust super-twisting sliding mode controller helps to achieve the desired system performance by following this model response faithfully, rejecting the disturbance with a continuous control. Finally, this strategy has been validated through numerical simulation considering a MIMO quadruple tank process (QTP). The simulated results are presented to illustrate the effectiveness of the proposed RTMF controller.
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