MATLAB Implementation of Nonlinear Model Predictive Control Algorithm
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This text discusses a Nonlinear Model Predictive Control (NMPC) algorithm implemented using MATLAB. The algorithm is designed for control systems and enables effective control of nonlinear systems, resulting in superior control performance. Compared to traditional linear control algorithms, this approach demonstrates better adaptability to various systems while delivering enhanced control precision and faster response times. The implementation typically involves formulating a constrained optimization problem where MATLAB's fmincon function or CasADi toolbox can be used to solve the nonlinear programming problem at each control interval. Key components include system state prediction using nonlinear model equations, constraint handling for input/output limitations, and real-time optimization computation. By employing this algorithm, system performance and efficiency can be significantly improved, leading to more reliable and stable operations in practical applications.
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