PTTIPTTI

Journal of Fuzzy Systems and ControlJournal of Fuzzy Systems and Control

This paper proposes an Adaptive Model Predictive Control (MPC) approach for the rotary inverted pendulum (RIP). The method combines Linear Time-Varying (LTV) models at each sampling instant with a Linear Time-Varying Kalman Filter (LTVKF) for state estimation. By predicting and adapting to dynamic system changes, the controller achieves performance comparable to non-adaptive MPC. However, the Adaptive MPC extends the arms operating range by up to 1.5 times, making it a promising solution for strongly nonlinear or time-varying systems like the RIP.

The study demonstrates that Adaptive MPC delivers good control performance and is well-suited for highly nonlinear systems with changing dynamics.While standard MPC provides comparable performance around a pre-linearized operating point with optimized control energy, Adaptive MPC excels when system dynamics significantly change due to varying operating conditions.The practical implementation of this controller is feasible, building upon previous work with non-adaptive MPC.

Penelitian lebih lanjut dapat dilakukan untuk mengeksplorasi penerapan Adaptive MPC pada sistem robotik yang lebih kompleks, seperti manipulator robot dengan banyak derajat kebebasan, untuk mengatasi tantangan nonlinearitas dan ketidakpastian yang lebih besar. Selain itu, studi komparatif yang mendalam perlu dilakukan untuk membandingkan kinerja Adaptive MPC dengan metode kontrol adaptif lainnya, seperti kontrol sliding mode atau kontrol fuzzy, dalam berbagai skenario operasional dan kondisi gangguan. Terakhir, pengembangan algoritma optimasi yang lebih efisien untuk menyelesaikan masalah optimasi MPC secara real-time, terutama untuk sistem dengan dimensi state yang tinggi, akan sangat bermanfaat untuk memperluas penerapan Adaptive MPC dalam aplikasi praktis, seperti kendali otonom dan robotika.

  1. Recent advances in adaptive MPC | IEEE Conference Publication | IEEE Xplore. recent advances adaptive... doi.org/10.1109/ICCAS.2010.5669892Recent advances in adaptive MPC IEEE Conference Publication IEEE Xplore recent advances adaptive doi 10 1109 ICCAS 2010 5669892
  2. A Survey of LQG over MPC and LQR Control for Rotary Inverted Pendulum - Robotica & Management. survey... doi.org/10.24193/rm.2024.2.2A Survey of LQG over MPC and LQR Control for Rotary Inverted Pendulum Robotica Management survey doi 10 24193 rm 2024 2 2
  3. Adaptive MPC for Iterative Tasks | IEEE Conference Publication | IEEE Xplore. adaptive mpc iterative... doi.org/10.1109/CDC.2018.8618694Adaptive MPC for Iterative Tasks IEEE Conference Publication IEEE Xplore adaptive mpc iterative doi 10 1109 CDC 2018 8618694
Read online
File size912.82 KB
Pages6
DMCAReport

Related /

ads-block-test