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Fault Tolerant Control System for the Wood-berry Distillation tower. RL is in SMDP form.

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RuiNian7319/Woodberry_Distillation

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Wood-Berry Distillation Tower Simulation Package

Folders

  1. Benchmark_Plots
  • Step test plots
  • Optimal steady state input dynamics
  1. ControlLoops
  • Decoupled system drawings
  1. FIS: Contextual Bandit Fault Identification System

  2. FTC_Case1: MeOH priority.

  3. FTC_Case2: Water priority.

  4. FTC_Case3: Both considered.

  • Velocity_Case4_initial: Initial results
  • Velocity_Case4_Ucost: Reward contains deltaU cost
  • Case1_Case2_using_MISO: Case 1 and case 2 using the MISO RL Code
  • SMDP: SMDP Case studies of case 3
  1. MATLAB_Files:
  • Decoupler: Decoupled Wood-Berry distillation tower
  • wood_berry_distillation: Raw Wood-Berry distillation tower m file. Has transfer function and conversion from tf2ss.
  1. Paper_Plots
  • Bad system dynamic plots (inv response, overshoot, oscillations)
  • Case study plots:
    Case 1: Top product priority
    Case 2: Bottom product priority
    Case 3: Top & bottom priority
    Case 4: Adaptability Study

Modules

  1. Decoupled_Distillation: Decoupled Wood-Berry distillation tower simulation with PI regulatory controllers.

  2. Woodberry_Distillation: Initial Wood-Berry distillation tower simulation with PI regulatory controllers.

  3. Woodberry_Distillation_RL: Initial Wood-Berry distillation tower simulation with RL in supervisory layer.

  4. RL_Module_Position: Position reinforcement learning module. Takes absolute states and actions.

  5. RL_Module_Velocity: Velocity reinforcement learning module. Takes relative actions given error.

  6. RL_Module_Velocity_MIMO_SMDP: MIMO SMDP reinforcement learning module. Considers semi-Markov processes.

  7. RL_Module_Velocity_SMDP: SMDP reinforcement learning module.

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Fault Tolerant Control System for the Wood-berry Distillation tower. RL is in SMDP form.

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