Non-Linear Control System and Motor synchronization

AI Thread Summary
The discussion focuses on designing a non-linear control system to synchronize two propeller motors using a specific equation involving angular acceleration, moment of inertia, and torque. The main challenge is linearizing the non-linear system to apply general linear control theory. Suggestions include breaking the problem into two linear models and using the Jacobian method for linearization at a desired operating point. This approach can help simplify the system by eliminating non-linear terms. The conversation emphasizes the importance of evaluating the system's behavior around a specific operating point for effective control design.
dt2611
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Hello,
I am currently trying to design a system that will sychronize two propellor motors, and I must design using the following equation:
w'*I + (w^2*r^2*p*S*C_d)/(2) = T_t + T_ss
w' = Angular acceleration
I = moment of inertia
w = angular velocity
r = radius of blade
p = air density
S =Surface Area
C_d = Drag coeeficient
T_t = transient torque
T_ss = Steady state torque

The problem is this is a non-linear system, and I do not know how to 'linearize' the system to use general linear control system theory. Any help would be greatly appreciated. Thanks.
 
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this is just a shot in the dark, but can you break the problem up into 2 linear models? Will that help at all?
 
what do you mean by two linear models?
 
sorry, probably worded that wrong.

Is there anyway to break the problem up into pieces? Other than that, I don't have much to offer, sorry.
 
For linearization, follow the procedure in http://en.wikipedia.org/wiki/Jacobian

and evaluate at the operating point that you want. It will clear out the nonlinear terms in the Jacobian and give you a linear system at that point in the form of \dot{x} = Ax + Bu
 
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