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Adaptive Prescribed Performance Tuning for Model Predictive Control

机译：模型预测控制的自适应规定性能调整

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A novel adaptive prescribed performance model predictive control (APPMPC) scheme for inductively coupled plasma (ICP) generation system is developed in this paper. First, the ICP generation control system is introduced, which is followed by a general MPC controller. Then, an APPMPC scheme is proposed, including the design of cost function and tuning for the prescribed performance function. The cost function of APPMPC could be obtained by transforming the cost function of classical constrained MPC based on the prescribed performance function and error transmission theory. The prescribed performance function parameters of the APPMPC could be tuned automatically with predefined overshoot and steady-state error, which enables APPMPC to be capable of guaranteeing the desired transient and steady-state prescribed performance of the ICP generation control system. Moreover, the proposed APPMPC converts the constrained quadratic programming (QP) problems of classical constrained MPC to unconstrained QP problems, thus significantly reducing computational costs. The simulation results show that the APPMPC method can guarantee the prescribed performance of tracking error, overshoot, steady error, less computational burden, and uniformly bounded output for the ICP generation system.
机译：本文开发了一种用于电感耦合等离子体（ICP）生成系统的新型自适应规定的性能模型预测控制（APPMPC）方案。首先，引入ICP生成控制系统，后跟一般的MPC控制器。然后，提出了APPMPC方案，包括设计成本函数和调整的规定性能功能。通过基于规定的性能函数和误差传输理论，通过转换经典约束MPC的成本函数来获得APPMPC的成本函数。 AppMPC的规定性能函数参数可以使用预定义的过冲和稳态误差自动调谐，这使APPMPC能够保证ICP生成控制系统的所需瞬态和稳态规定性能。此外，所提出的AppMPC将经典约束MPC的约束二次编程（QP）问题转换为无约束的QP问题，从而显着降低了计算成本。仿真结果表明，AppMPC方法可以保证跟踪误差，过冲，稳定误差，计算负担，以及ICP生成系统的均匀界输出的规定性能。

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