6.4
Aritmética Fasorial
Os fasores e suas senoides correspondentes estão inter-relacionados, oferecendo insights exclusivos sobre o comportamento dos circuitos de corrente al…
Considere um sinusóide e seu fasor correspondente.
A derivada do sinusóide no domínio do tempo é igual ao seu fasor multiplicado por j-omega no domínio fasor.
Da mesma forma, ao integrar um sinusóide no domínio do tempo, ele se transforma em seu fasor dividido por j-omega no domínio fasor.
Essas transformações produzem a solução sinusóide em estado estacionário sem conhecer os valores iniciais.
Agora, considere dois fasores em formas retangulares e polares. Para adicionar esses dois fasores, suas formas retangulares são usadas.
A parte real do fasor resultante é a soma das partes reais dos dois fasores, e sua parte complexa é a soma das partes complexas dos fasores individuais.
Da mesma forma, para subtrair dois fasores, suas formas retangulares são usadas. As partes reais e complexas do fasor resultante são as diferenças das partes reais e imaginárias dos fasores individuais.
As formas polares são usadas para multiplicar e dividir quaisquer dois fasores, e o conjugado complexo de um fasorial pode ser expresso em formas retangulares e polares.
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Q1: How does differentiation of a sinusoid transform between time and phasor domains?
When you differentiate a sinusoid in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit and ω is the angular frequency. This transformation allows you to find steady-state solutions without knowing initial values, simplifying AC circuit analysis significantly.
Q2: What happens to a sinusoid when it is integrated in the phasor domain?
Integration of a sinusoid in the time domain translates into its corresponding phasor divided by j-omega in the phasor domain. This transformation provides a direct method to obtain steady-state solutions for sinusoidal signals without requiring initial variable values, making it essential for AC circuit problem-solving.
Q3: Why are rectangular forms used for adding and subtracting phasors?
Rectangular forms express phasors as complex numbers with real and imaginary parts, making component-wise addition and subtraction straightforward. The real part of the resultant phasor equals the sum or difference of the real parts, while the imaginary part equals the sum or difference of the imaginary parts of the individual phasors.
Q4: When should you use polar form for phasor operations?
Polar forms, expressing phasors as magnitude and angle, are used for multiplication and division. The resultant magnitude equals the product or quotient of individual magnitudes, and the resultant angle equals the sum or difference of individual angles. This approach simplifies complex phasor calculations in AC circuit analysis.
Q5: How is the complex conjugate of a phasor expressed and why is it important?
The complex conjugate of a phasor is obtained by changing the sign of its imaginary part and can be expressed in both rectangular and polar forms. This operation is crucial in many AC circuit applications, including the computation of power, making it fundamental to understanding phasor relationships for circuit elements.
Q6: What is the relationship between phasors and their corresponding sinusoids?
Phasors and sinusoids are interrelated mathematical representations of AC signals. Phasors transform sinusoidal time-domain operations into algebraic operations in the phasor domain through differentiation and integration rules. This relationship simplifies AC circuit analysis by allowing steady-state solutions to be found without initial conditions.
Q7: How do phasor arithmetic operations differ based on the form used?
Phasor arithmetic requires selecting the appropriate form for each operation: rectangular forms for addition and subtraction enable direct component combination, while polar forms for multiplication and division enable magnitude and angle operations. Choosing the correct form streamlines calculations and reduces computational complexity in AC circuit problems.