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Model predictive speed control with optimal torque constraints handling of drive systems with elastic transmission

机译:具有弹性传递的驱动系统具有最佳扭矩约束的模型预测速度控制

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The main challenge in control of modern industrial drive systems with elastic coupling is the ability to fulfill the inherent safety and physical constraints of the drive for a large variety of operating conditions and load disturbances. This paper presents a methodology for handling drive's input and shaft torque constraints in an optimal and effective way while guaranteeing desired speed response characteristics. The presented strategy is based on an explicit form of Model Predictive Control (MPC) which is computationally more suited for systems with demanding sampling rates. This paper demonstrates that the classical cascade control scheme with a MPC speed controller is unable to ensure the fulfillment of the drive's torque constraints leading to significant loss in the closed-loop performance. We propose to incorporate the inner torque loop control synthesis problem into the design of the outer speed controller thus yielding a single-loop MPC control law. The proposed explicit MPC controller is evaluated through simulation demonstrating feasibility and high effectiveness.
机译:通过弹性联轴器控制现代工业驱动系统的主要挑战是,对于各种运行条件和负载干扰,如何满足驱动器固有的安全性和物理约束。本文提出了一种在确保所需的速度响应特性的同时,以最佳有效的方式处理驱动器的输入和轴扭矩约束的方法。所提出的策略基于显式形式的模型预测控制(MPC),该模型在计算上更适合于要求采样率的系统。本文证明,带有MPC速度控制器的经典级联控制方案无法确保满足驱动器的转矩约束,从而导致闭环性能显着下降。我们建议将内部转矩回路控制综合问题纳入外部速度控制器的设计中,从而得出单回路MPC控制律。通过仿真评估了所提出的显式MPC控制器,证明了其可行性和高效性。

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