摘要
针对经济性预测控制优化问题,设计了切换控制策略的优化算法。首先,离线计算具有耗散性的Hessian矩阵指标;其次,在线优化阶段,根据系统状态所处的不同可行域,分别在经济指标优化和Hessian矩阵对应的动态指标优化之间进行切换,从而驱动系统状态收敛到稳态工作点,取得了较优的经济性能;最后,仿真结果验证了方法的有效性。
For the economic model predictive control,an optimization algorithm is proposed based on the switching control strategy.Firstly,the proposed optimization algorithm offline computes the Hessian matrix index with dissipativity.Secondly,according to the different feasible domains of the system state,it switches between the economic performance optimization and the dynamic performance optimization by use of the Hessian matrix online respectively.This method can drive the system state to converge to the steady state and achieve better economic performance.Finally,the simulation results demonstrates the validity of the proposed method.
作者
蔡鹏程
郑鹏远
CAI Pengcheng;ZHENG Pengyuan(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《上海电力学院学报》
CAS
2019年第5期493-497,502,共6页
Journal of Shanghai University of Electric Power
基金
国家自然科学基金(61573239)
教育部重点实验室开放课题(Scip201509)
