基于切换控制的经济模型预测控制

Switching control-based economic model predictive control

为了提升经济模型预测控制的经济性能指标,提出一种切换控制策略.首先,依据Lyapunov稳定性理论给出理想和扰动下的两类估计可行域,并实时检测系统状态;然后,根据系统状态所处不同区域,采用相应的控制器分别实施经济优化、状态驱动和稳态驱动.所提方法在保证稳定性的同时,能够为经济性能优化提供更多的在线优化时间和优化自由度,获得比传统方法更高的经济效益.通过一个负阻振荡器实例验证了所提出方法的可行性和有效性.

A switching control strategy is proposed for improving the economic performance of the economics-based modelpredictive control（EMPC）. Firstly, based on the Lyapunov stability theory, two kinds of feasible regions which are with and without disturbances are defined, and the system state is detected in real time. Then, the corresponding controller is implemented for economic optimization, state driving and stability driving respectively according to the different regions which the system state belongs to. This method provides more degrees of freedom and on line optimization time for economic optimization on the promise of guaranteeing stability, therefore obtaining higher economic performance than traditional methods. The proposed EMPC designs are illustrated through a negative resistance oscillator example and their feasibility and effectiveness are evaluated through simulations.