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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.
In order to enhance the economic performance of economic model predictive control, a switching control strategy is proposed.Firstly, based on Lyapunov stability theory, two types of estimated feasible regions under ideal and perturbed conditions are given, and the state of the system is detected in real time. Then, At different regions, the corresponding controllers are respectively used to implement economic optimization, state-driven and steady-state driving respectively.The proposed method can provide more online optimization time and optimal degree of freedom for economic performance optimization while guaranteeing stability, The higher economic efficiency of the traditional method.An example of a negative resistance oscillator shows the feasibility and effectiveness of the proposed method.