Real-Time Implementation of Model Predictive Control Based on Sine Cosine Algorithm for a Water Level of the Three-Tank Proces

One effective optimization method for handling nonlinear and non-convex optimization problems is the sine, cosine algorithm (SCA). However, it is not possible to account for system restrictions like production and state constraints. Conversely, model predictive control, or MPC, is a powerful optimization method that may yield the optimal result under certain limitations. However, this turns out to be a complicated problem for restricted nonlinear/nonconvex optimization, and is typically not suitable because of the real-time computing expense. A predictive control model for limited nonlinear systems based on TBA is presented in this work. This is a straightforward control technique that, with certain restrictions, yields optimal solutions for nonlinear systems in a reasonable period of time. Both hard and soft limitations are taken into account by the suggested strategy.