Problem with automatic tuning for PIDs in a Linear Parameter Varying System

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I am currently doing a project comparing different ways of tuning PIDs for an LPV system which represents the longitudinal axis of an aircraft. I have manually tuned the PIDs and got very high gains for each PID (one for velocity one for flight path angle, alpha). I have then used the autotune function in SIMULINK which uses the sliders and got equally high gains for the velocity PID. I am now trying to find an automated way of tuning PIDs. I have attatched a photo of the setup i currently have and am currently using the check step responses block to tune the alpha PID however when I currently run this there is no optimisation. Plots get slightly (ever so slightly) better however no iterations come up on optimization progress report.
There may be a more sensible way of tuning the PIDs automatically and am willing to change the current method however would appreciate help in understanding what I am doing wrong currently and how to change it.
Many thanks.

Answers (1)

Sam Chak
Sam Chak on 31 Jan 2023
Try applying the decoupling mechanism to uncouple the dynamics so that the states behave like SISO systems.
With the SISO math models, you can apply the PID tuner algorithm to automatically tune for you with closed eyes, provided the SISO models are stabilizable.
Back to the original coupled MIMO system in Simulink, design the control blocks that connect the decouplers and the tuned PID Controllers.
Harry Leggett
Harry Leggett on 8 Feb 2023
Thanks again for your help. I understand what you are saying about decoupling now and sadly I cannot change the model much as it is an LPV system representing a real world system.
The flight path angle is very much related to the velocity of the aircraft.
I will try tuning and fixing in the way you suggest, however when I have previously tuned in isolation, upon reintroduction of the alternative channel I get very different results.
Many thanks,

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