With "classical control" do you mean PID or all other control methods, which are not MPC?
In my opinion, some advantages of MPC are:
1) the possibility to introduce constraints in a natural form
2) if the references are know in advance, they can be used in order to optimize the reference tracking.
3) depending on the MPC approach, it can be used for MIMO and SISO systems.
An important limitation is its computational burden, which can be a problem when the optimization is carried out online in real time.
Dear Debottam,
The MPC command by evaluating the future dynamics of the system, allows to take into account time delays, oscillating systems and non-minimal systems, unstable systems. . . etc. in the presence of input and output constraints and is easily expandable for multi-variable systems. In short, the advantages of predictive control are to reduce the variance (more precision and optimality), to be able to change the setpoint (more degree of freedom in the control of the systems).
Best regards
The answer strongly depends on the specific application!
We recently published this article
Article Model Predictive Control (MPC) for Enhancing Building and HV...
where you can find our point of view about benefits and drawbacks of using MPC for building energy managment (compared to baseline controllers), in the "Critical Discussion and Conclusions" section.
It can be extended to other energy-related application.
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