Equation Of Motion Essay

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Chapter 2
Equations of Motion

The equations of motion form the basic building blocks for any system under consideration. These equations should be formulated as accurately as possible to model the desired system. The δinaccuracies in formulating these equations could result in faulty behaviour of the system which could be very difficult to understand. However, modern control systems are designed to accommodate model inaccuracies to a certain degree. It is very important to ensure that our model is modelled within this range. Errors could also enter the system during the calculation stage due to the precision and number of digits used to represent the values.
The equations of motion for any given airplane are non-linear in nature. It is linearised by making certain assumptions. The assumptions are as follows:
The OX and OZ axes are the planes of symmetry.
The polar moment of Inertia J is zero in XY and YZ is equal to zero.
The mass of the airplane remains constant during the whole analysis.
The aircraft is a rigid body.
Earth is an inertial reference.
Formulation of Equations of Motion:
According to Newton’s Second Law of Motion, the vector sum of the total forces in a system is equal to the product of the mass (m) and acceleration ( a ) of the system.
Therefore, in this case, we have :
∑ F= m (d Vt / dt ) , where Vt = Velocity of Aircraft (1.1)
Since mass m is constant.
Therefore we have,
F=m*(dVt/dt)+(d/dt) ∑( Vt+(dr/dt))* δm (1.2)
F=m*(dVt/dt)+d^2/dt^2(∑r*δm ) (1.3) r*δm = 0 since r is measured from center of mass.

Similarly the moment can be found can be formulated as follows: δm=d/dt(δH)=d/dt(r x v ) δm (1.4)
The velocity of this small element can be expressed as ...

... middle of paper ...

...= (A – B*K)x + Bv.
We formulate a Performance Index J as there can be n number of optimal solutions to a problem. Once we formulate a performance Index J, we can call the solution which minimises this performance index as Optimal. This can be visualised as an energy function, as our ultimate objective is to reduce the energy consumption of the system.
Let us define our Performance Index J as:
J = ∫_0^∞▒xTQx + uTRu dt
Substituting the State Variable Feedback control into this yields,
J = ∫_0^∞▒xT(Q + KT R K ) x dt
Here we have assumed that input v(t) is equal to zero. This assumption is valid as we are only concentrating on the internal stability of the system.
In this performance index, both the states x(t) and the control input u(t) are weighted, hence if J is small, neither x(t) nor u(t) would be too large. If we can minimise J, then it is definitely finite.

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