Abstract:

A next-generation adaptive model predictive control (MPC) controller is proposed.The adaptive MPC consists of three modules: a MPC control module, an online identification module and a performance monitor module.The three modules work together coherently in real-time.With the right design, the rest is automatic.In MPC commissioning, the online identification module performs automated plant test and automatic model identification.When all expected models become good, the MPC controller is automatically commissioned.When the MPC controller is online, the control monitor module continuously monitors the MPC performance and model quality.When control performance degradation and considerable model error are detected, monitor module will activate the online identification module.The identification module will re-identify the model and replace the old model.It makes the closed loop performance of the MPC system at its best.The effective performance is proved by the PTA application of the adaptive MPC.

Key words:

模型预测控制, 在线辨识, 性能监控, 自适应MPC

摘要：

提出了新一代的自适应模型预测控制器，自适应MPC控制器由MPC控制模块、在线辨识模块、性能监控模块3个模块组成，相互协调配和来实现自适应MPC控制。除了控制器功能设计以外，其余过程均可自动进行。对于新建MPC应用，首先进行多变量测试与辨识，在模型符合控制要求时，自动进入控制器投运。通过控制器性能监视发现模型不满足控制要求精度时，触发一次多变量模型测试与辨识过程，替换原有模型进行控制，保证控制器性能始终处于最佳状态。自适应MPC控制器在PTA装置上的应用表明了算法的有效性。

关键词:

模型预测控制, 在线辨识, 性能监控, 自适应MPC