In Part 1, you have used Decentralised, Sparse, and Decoupling control methods for a 3 3 process. In this assignment, you will design a MPC for the same 3 3 process:
The main aim of this assignment is to let students compare (a) the multivariable control design techniques learned in Part 1 and (b) the Model Predictive Control (MPC) method learned in Part 2.
1
Answer as many questions as you can.
- Compare your best MPC design with those you obtained in Part 1. Simulate theclosed-loop step responses for the set-point profile:
R1(t) = 1, t > 0 R2(t) = 1, t > 50
R3(t) = 1, t > 100
- Discuss how did you select an appropriate sampling time for your MPC design.What were your considerations?
- Include the MATLAB code you have used to obtain the state space representationof the plant model (with u(k) as input). What are the dimensions of the Ap, Bp and Cp
- Include the MATLAB code you have used to obtain the plant model A, B, and C for your MPC design with u(k) as input. What are the dimensions of the A, B and C
- Discuss the effects of the MPC tuning knobs, N2, Nu and on the closed-loop step response performance. Support your observations with simulation examples.
- Comment on the pros and cons of the MPC method based on this case study.
Bonus:
- If you had knowledge of the future set-points at the start, how would you modify your MPC to take account of this future set-point information? Perform a simulation to compare with and without future set-point scenarios.
- Does your MPC design has integral action? How can you demonstrate this?
- Any other investigation or innovation not mentioned above.

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