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中文摘要：
生产过程的变负荷运行使得其非线性动态特性的影响凸显。针对变负荷生产过程中机理模型为常微分方程或半显式Heisenberg微分-代数方程的一类非线性动态系统,采用非线性预测控制算法,构造出稳态优化与动态优化的两层控制结构,并采用联立法进行优化数值求解。最后对化工过程的夹套CSTR进行仿真验证,表明该算法的有效性。
英文摘要：
Varying load of the industrial process impacts the characteristics of nonlinear dynamic system.The study focuses on the nonlinear dynamic processes with varying load,and the models of the processes which can be presented as ordinary differential equations or semi-explicit Heisenberg differential-Algebraic equations.The nonlinear model predictive control（NMPC）algorithm based on the rigorous model is applied here.A two-tier structure of steady-state and dynamic optimization is presented,and simultaneous approach is adopted to solve optimal problem.And then the stability of the approach is analyzed.Simulations on the cascade continuous stirred tank reactors show the validity of the NMPC.
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