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AE 313
AE Systems & Control
02 MATHEMATICAL MODELLING
Dr. Syed Saad Azhar Ali
75-110
syed.ali@kfupm.edu.sa
Control Systems
• To understand and control complex systems, one must obtain
quantitative mathematical models of these systems.
• The term model, as it is used and understood by control engineers,
means a set of differential equations that describe the dynamic
behavior of the process.
• The differential equations describing the dynamic performance of a
physical system are obtained by utilizing the physical laws of the
process.
• For mechanical systems, one utilizes Newton’s laws, and for
electrical systems Kirchhoff’s voltage and current laws.
• We will consider a few examples.
DIFFERENTIAL EQUATIONS OF PHYSICAL SYSTEMS
– To model any physical system,
• Physical laws
• Mathematical equivalent of the laws
• Differential equations
Mechanical System
– Newton’s Laws
• F = ma
– Equations of Motion
– Forces
• Tension
• Friction
– And many more
Mechanical System
Spring-Mass Damper
• Displacement of the mass M (y)
• The mass is suspended with
spring (spring constant k)
• moves inside the walls with
friction (coefficient b)
• r(t) is the applied force that
– Moves -> Ma
– Takes care of spring -> ky
– Overcomes the friction -> bv
Ma bv ky
𝒓 𝒕 = 𝑴𝒂 + 𝒃𝒗 + 𝒌𝒚
𝒓 𝒕 = 𝑴
𝒅𝟐𝒚
𝒅𝒕𝟐
+ 𝒃
𝒅𝒚
𝒅𝒕
+ 𝒌𝒚 This is the differential equation
for the spring-mass damper
𝒓 𝒕 = 𝑴𝒂 + 𝒃𝒗 + 𝒌𝒚
Electrical System
Parallel RLC Circuit
• The total current is divided in all
the parallel branches
• r(t) is divided in
– resistance -> iR(t) = v(t)/R
– inductance -> iL(t) =
1
𝐿
v(t)𝑑𝑡
– Capacitance-> iC(t) = C
𝑑v(t)
𝑑𝑡
This is the called the integro-
differential equation
𝒓 𝒕 = 𝒊𝑹 + 𝒊𝑳 + 𝒊𝑪
𝒅𝒓(𝒕)
𝒅𝒕
= C
𝒅𝟐
v(t)
𝑑𝑡2 +
1
𝑅
𝒅v(t)
𝒅𝒕
+
1
𝐿
v(t)
𝒓 𝒕 =
v(t)
𝑹
+
1
𝐿
v(t)𝑑𝑡 + C
𝑑v(t)
𝑑𝑡
Differentiating the equation
Glider
Glider
𝑇𝑎𝑛𝜃 =
1
𝐿 𝐷
𝑣 =
2𝑐𝑜𝑠𝜃
𝜌 ∗ 𝑪𝑳
∗
𝑊
𝑆
Higher L/D yields smaller
glide angle
W/S = Wing loading
𝜌 = Density
𝑪𝑳 = lift coefficient
Aircraft performance and design
Book by John D. Anderson
9
Project 1 (Competition.. ?)
• Group Project
• Competition (I will try to get some prize as well)
• Design the glider
• Get theoretical results
• Competition day - we will get real results
• 5%
8/23/2023

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02 Mathematical Modelling.pptx

  • 1. AE 313 AE Systems & Control 02 MATHEMATICAL MODELLING Dr. Syed Saad Azhar Ali 75-110 syed.ali@kfupm.edu.sa
  • 2. Control Systems • To understand and control complex systems, one must obtain quantitative mathematical models of these systems. • The term model, as it is used and understood by control engineers, means a set of differential equations that describe the dynamic behavior of the process. • The differential equations describing the dynamic performance of a physical system are obtained by utilizing the physical laws of the process. • For mechanical systems, one utilizes Newton’s laws, and for electrical systems Kirchhoff’s voltage and current laws. • We will consider a few examples.
  • 3. DIFFERENTIAL EQUATIONS OF PHYSICAL SYSTEMS – To model any physical system, • Physical laws • Mathematical equivalent of the laws • Differential equations
  • 4. Mechanical System – Newton’s Laws • F = ma – Equations of Motion – Forces • Tension • Friction – And many more
  • 5.
  • 6. Mechanical System Spring-Mass Damper • Displacement of the mass M (y) • The mass is suspended with spring (spring constant k) • moves inside the walls with friction (coefficient b) • r(t) is the applied force that – Moves -> Ma – Takes care of spring -> ky – Overcomes the friction -> bv Ma bv ky 𝒓 𝒕 = 𝑴𝒂 + 𝒃𝒗 + 𝒌𝒚 𝒓 𝒕 = 𝑴 𝒅𝟐𝒚 𝒅𝒕𝟐 + 𝒃 𝒅𝒚 𝒅𝒕 + 𝒌𝒚 This is the differential equation for the spring-mass damper 𝒓 𝒕 = 𝑴𝒂 + 𝒃𝒗 + 𝒌𝒚
  • 7. Electrical System Parallel RLC Circuit • The total current is divided in all the parallel branches • r(t) is divided in – resistance -> iR(t) = v(t)/R – inductance -> iL(t) = 1 𝐿 v(t)𝑑𝑡 – Capacitance-> iC(t) = C 𝑑v(t) 𝑑𝑡 This is the called the integro- differential equation 𝒓 𝒕 = 𝒊𝑹 + 𝒊𝑳 + 𝒊𝑪 𝒅𝒓(𝒕) 𝒅𝒕 = C 𝒅𝟐 v(t) 𝑑𝑡2 + 1 𝑅 𝒅v(t) 𝒅𝒕 + 1 𝐿 v(t) 𝒓 𝒕 = v(t) 𝑹 + 1 𝐿 v(t)𝑑𝑡 + C 𝑑v(t) 𝑑𝑡 Differentiating the equation
  • 8. Glider Glider 𝑇𝑎𝑛𝜃 = 1 𝐿 𝐷 𝑣 = 2𝑐𝑜𝑠𝜃 𝜌 ∗ 𝑪𝑳 ∗ 𝑊 𝑆 Higher L/D yields smaller glide angle W/S = Wing loading 𝜌 = Density 𝑪𝑳 = lift coefficient Aircraft performance and design Book by John D. Anderson
  • 9. 9 Project 1 (Competition.. ?) • Group Project • Competition (I will try to get some prize as well) • Design the glider • Get theoretical results • Competition day - we will get real results • 5% 8/23/2023