What are the most effective circuit analysis techniques for detecting overshoot and undershoot?

Time domain analysis. Voltage vs time or current vs time graphs. This helps understand the relationship of each parameter behaviour with time.

Its actually to listen... Your ears are very precise to determine if a machine works well or not. Your ear can detect differences less than 0.1 Hz. But to show it to others you must of course show it on a graph.

I agree, time-domain analysis helps you understand it more effectively. The time vs value can help you understand the trends and analysing the system

Both Time-domain and Frequency-domain analyses are crucial for detecting overshoot and undershoot in circuits. Transient analysis and root locus analysis are time-domain techniques, while Bode plot analysis primarily falls under frequency-domain analysis. State-space analysis, although not directly focused on overshoot and undershoot, contributes to a comprehensive understanding of the system's dynamics.

A avalia??o de overshoot e undershoot em circuitos é crucial para compreender seu comportamento dinamico. Uma abordagem acessível é a análise no domínio do tempo, tra?ando a varia??o de tens?o ou corrente ao longo do tempo. Isso permite observar respostas a sinais como degrau, rampa, pulso ou ondas senoidais, medindo valores de pico e estado estacionário da saída. Ao calcular tempo de subida, queda, sedimenta??o e taxa de amortecimento, avalia-se estabilidade e qualidade do circuito. A análise pode ser realizada com software, como SPICE, ou com um osciloscópio em tempo real, essencial para garantir desempenho otimizado.

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Frequency domain analysis would be helpful to understand the behavior of circuit is as expected or not. Now a days Spectrum analyser and similar equipments are available which helps to convert the output as Frequency response. This is very helpful when you are dealing with Electrical design in RF domain.

The most effective circuit analysis techniques for to detect the overshoot and undershoot to check the output voltage or current of a circuit from the time domain to the frequency domain. We fought that the time domain analysis which can be evaluating by signal response over the time and in this the peak deviations was revealed so frequency domain analysis can check the circuits at different frequencies in the responded circuits, also it is useful for identifying the AC circuits.

So far the best and comparably more simple way to address the said problem is Frequency Analysis. Once done with that component selection is the other. Combination of the above will surely reduce the targeted problem. Furthermore, implementing feedback loops will also add in to the solution.

A análise de overshoot e undershoot em circuitos é aprimorada pela técnica de análise no domínio da frequência. Essa abordagem transforma a tens?o ou corrente de saída do tempo para a frequência, revelando a amplifica??o ou atenua??o de diferentes componentes de frequência do sinal de entrada. Destaca-se a frequência ressonante e a largura de banda. O diagrama de Bode, mostrando magnitude e resposta de fase em rela??o à frequência, ajuda a determinar margens de ganho e fase, indicadores cruciais de estabilidade. A análise pode ser feita por software, como o SPICE, ou usando um analisador de espectro para medir o espectro de frequência. Essa abordagem refinada contribui para uma compreens?o eficaz do desempenho do circuito.

A análise avan?ada de overshoot e undershoot em circuitos inclui a técnica do locus raiz, que plota polos e zeros em rela??o a um parametro, como ganho de realimenta??o. Isso revela como esses elementos afetam o circuito e possibilita ajustes para a saída desejada. O locus raiz também serve para projetar controladores ou compensadores, melhorando estabilidade e reduzindo overshoot e undershoot. A análise, via software como MATLAB ou método gráfico, oferece uma compreens?o estratégica do comportamento dinamico dos circuitos.

MATLAB would be very powerful tool in case MBD (Model Based Development) is performed. This helps to identify the design issues very easily as it converts all requirements in form of diagram with suitable input and output.

In my experience delaing with Encoders and DC motors robotics to determine actual position of a robot arm and in order to get to the desired position. Robot arms use three different gains. - Surpasses steady-state error levels of zero. - Mp for various profits, Tr, Ts (2% threshold), and Ts. - Map of Pole to Zero

At this stage us where I understand how the system’s poles change with varying parameters; Overshoot and undershoot can be influenced by the locations of these poles. Before this I must Apply a step input to the circuit and observe its step response. Analyze the response graph to identify overshoot and undershoot characteristics.

This is my favorite..., Using matrices is easy to implement, with no need to address one variable at a time, of course, to detect the Over-under shoots the time analysis is the way to go, but once the system is analyzed the state-space is useful in designing an observer or a regulator.

State space is useful for creating a controller for a robotic arm manipulator, which is often designed to carry out a predetermined set of movements. To allow for movement inside the arm's working volume, the arm is commonly articulated or joined. Jointed arm portions can move in different ways thanks to the usage of motors or actuators. Computational modeling is utilized to operate the motor and actuators, and the controller is employed to steer the arm manipulator to different positions. In order to create state space models of the system and utilize it for control design exercises, an analytical model of a robotic arm manipulator is first constructed in practice.

In order to have an accurate Simulation of overshoot & undershoot All we need to do is avoid GIGO (Garbage in—>Garbage out) 1. Have an accurate model for your board/pcb with its connectors and cables. 2. Have accurate spice model for your active device (op amp, transistors,diode ect) and passive device (resistors, capacitors, inductors). 3. Use 3D model extraction or S parameters for more accuracy. 4. Verify your stimulus signal is identical to what you have in your application. Using a faster signal will increase ringing and overshoot. 5. Workout your spice internal knobs to increase accuracy (abstol,reltol, ect)

Proper Mathematical model (if possible), multi-layer neural network if the system is too complex to produce an accurate mathematical model for (keeping in mind the process of ML learning)

To detect overshoot and undershoot in circuit analysis, you can employ techniques such as transient analysis and step response analysis. Transient analysis helps you observe the circuit's behavior over time, and step response analysis involves applying a step input to analyze the system's response. Look for amplitude peaks and valleys in the output waveform to identify overshoot and undershoot. Additionally, calculating the percentage overshoot and undershoot can provide quantitative measures of these phenomena.

In my experience the step response of a system of (at least) second order will show overshoot if it has two complex poles, or a pole pair. A correlation may be observed between the pole quality factor Qp and the overshoot percentage (%). This is only feasible for RLC topologies (resonant effect) in passive circuits; overshoot can be seen in active RC circuits when there is undesired or desired feedback and on the other hand active circuits with a "non-minimum phase" zero on the right half of the complex s-plane (RHP) can exhibit this phenomena. An instance of a system with "undershoot" and a step response is the second-order allpass.