@article{scholars711,
          volume = {9},
            note = {cited By 0},
          number = {17},
             doi = {10.3923/jas.2009.3027.3033},
           title = {Integrated scheduling and RTO of RGP with MPC and PI controllers},
            year = {2009},
         journal = {Journal of Applied Sciences},
           pages = {3027--3033},
        abstract = {This study proposes an integrated framework of scheduling and Real-Time Optimization (RTO) of a Refrigerated Gas Plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas and vice-versa. Set points from mode scheduling are passed down to the steady-state RTO layer. Modeling mismatch is minimized by rigorously exchanging values of key variables between dynamic and steady-state models. Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by Model Predictive Control (MPC) scheme and Proportional-Integral (PI) controllers for comparison. Four case studies for each mode scheduling are performed to illustrate efficacy of the proposed approach.},
        keywords = {Integrated frameworks; Integrated scheduling; Natural gas liquids; Optimal trajectories; Proportional integral controllers; Real-time optimization; Sequential quadratic programming algorithm; Steady-state models, Gas plants; Model predictive control; Optimization; Predictive control systems, Scheduling},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-68949216989&doi=10.3923\%2fjas.2009.3027.3033&partnerID=40&md5=c92fa81e61914a12403eb2b2c600653b},
            issn = {18125654},
          author = {Yusoff, N. and Ramasamy, M.}
}