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https://cdn2.flux.ai/flux-comment-files/files/commentFileId-dd333b5d2cb489247c9d...

himeth

@copilot

Image

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copilot

It looks like you've used a series of JK flip-flops (likely 74LS112) in a cascading manner with resistors connected to the Q outputs.

To design a similar circuit using the SN74LS76AN dual JK flip-flop, let's map out the connections for each flip-flop. Here's how you can connect your components given the pin layout of the SN74LS76AN:

Pin Layout of SN74LS76AN

Dual JK Flip-Flop with Clear and Preset
Pinout:
- 1: Clear (CLR1)
- 2: Preset (PRE1)
- 3: Clock (CLK1)
- 4: J (J1)
- 5: K (K1)
- 6, 7: Q and Q' (Q1, Q1')
- 8: GND
- 9, 10: Q and Q' (Q2, Q2')
- 11: K (K2)
- 12: J (J2)
- 13: Clock (CLK2)
- 14: Preset (PRE2)
- 15: CLR (CLR2)
- 16: VCC

Example Connection for Two JK Flip-Flops

Let's create a cascaded connection similar to the image you provided:

Configuration for First Flip Flop (U1)

First JK Flip-Flop (U1A)
- Connect Clock: Connect external clock signal to $U1:3$.
- Connect Preset: Connect $U1:2$ to VCC.
- Connect Clear: Connect $U1:1$ to GND.
- Connect Inputs: Connect initial input to $U1:4$ and $U1:5$.
- Connect Outputs:
  - $U1:6$ (Q1) to $R1$ and next JK flip-flop input.
  - $U1:7$ to a ground plane if unused.
Second JK Flip-Flop (U1B)
- Connect Clock: Connect $U1:13$ to $U1:6$.
- Connect Preset: Connect $U1:14$ to VCC.
- Connect Clear: Connect $U1:15$ to GND.
- Connect Inputs: Connect $U1:12$ and $U1:11$ to VCC (or depending on the desired functionality).
- Connect Outputs:
  - $U1:9$ (Q2) to $R2$ and next JK flip-flop input.
  - $U1:10$ to GND if not used.

Configuration for Second Flip Flop (U2)

First JK Flip-Flop (U2A)
- Connect Clock: Connect $U2:3$ to $U1:9$ (Q2).
- Connect Preset: Connect $U2:2$ to VCC.
- Connect Clear: Connect $U2:1$ to GND.
- Connect Inputs: Connect $U2:4$ and $U2:5$ to VCC.
- Connect Outputs:
  - $U2:6$ (Q1) to $R3$ and next JK flip-flop input.
  - $U2:7$ to a ground plane if unused.
Second JK Flip-Flop (U2B)
- Connect Clock: Connect $U2:13$ to $U2:6$.
- Connect Preset: Connect $U2:14$ to VCC.
- **Connect Clear: **Connect $U2:15$ to GND.
- Connect Inputs: Connect $U2:12$ and $U2:11$ to VCC.
- Connect Outputs:
  - $U2:9$ (Q2) to $R4$ and next JK flip-flop input.
  - $U2:10$ to GND if unused.

Connections Summary

Clock Signal: Connect to the first flip-flop's clock input.
Outputs Q to Resistors:
- Connect $U1:6$ to $R1$.
- Connect $U1:9$ to $R2$.
- Connect $U2:6$ to $R3$.
- Connect $U2:9$ to $R4$.

For your design in Flux, connect your designators accordingly and create the necessary connections.

Feel free to ask for further specifics or adjustments!

himeth

can you simulate this circuit

copilot

To simulate the presented circuit, we'll need to recreate its schematic in a format that can be analyzed. From the provided image, it looks like a series of J-K flip-flops (74LS112) are being used. Each flip-flop is connected in a sequential manner to form a counter or similar logic circuit, with outputs connected to resistors leading to ground.

Let's break down and simulate the circuit using the parameters shown in the schematics.

Steps:

Translate the schematic components into a spice netlist.
Use a simulation tool to analyze the circuit behavior.

Here's a description of the setup and elements in your simulation:

Battery Cell (V1)
Pulse Generator (Voltage Pulse (VPULSE) with specified parameters)
Four JK flip-flops (74LS112)
Resistors (R1-R4)

Let's proceed with a Python simulation for the given schematic.

SPICE Netlist Translation

I'll generate a basic SPICE netlist for this circuit and simulate it in a Python environment.

Parameters for VPULSE:

Initial voltage (V1): 0V
Peak voltage (V2): 1V
Time delays (TD): 2n
Rise time (TR): 2n
Fall time (TF): 2n
Pulse width (PW): 50n
Period (PER): 100n

SPICE Netlist Example:

Plaintext
* JK Flip-Flop Test Circuit
V1  GND VDD DC 5
X1  Clk J K Q 74LS112
X2  Q QBar Clk J K Q 74LS112
X3  Q1 QBar Clk J K Q 74LS112
X4  Q2 QBar Clk J K Q 74LS112
VDD GND VDD DC 5V
V1  GND Pulse (0 5 2n 2n 2n 50n 100n)
R1  Q GND 100k
R2  QBar GND 100k
R3  Q2 GND 100k
R4  QBar GND 100k

I'll now transform this into a form that can be used for a Python-based simulation.

Code Interpreter

Python
# Code to simulate the given JK Flip-Flop circuit using a pulse generator
import matplotlib.pyplot as plt
import numpy as np
from scipy.integrate import solve_ivp

# Define parameters for simulation
V2 = 5  # Peak pulse voltage (V)
td = 2e-9  # Time delay (s)
tr = 2e-9  # Rise time (s)
tf = 2e-9  # Fall time (s)
tw = 50e-9  # Pulse width (s)
per = 100e-9  # Period (s)
duration = 1e-6  # Total simulation time (s)

# Time vector
t = np.linspace(0, duration, 10000)

# Define the pulse generator function
def vpulse(t):
    t_mod = np.mod(t, per)
    if t_mod < td:
        return 0
    elif t_mod < (td + tr):
        return V2 * (t_mod - td) / tr
    elif t_mod < (td + tr + tw):
        return V2
    elif t_mod < (td + tr + tw + tf):
        return V2 * (1 - (t_mod - (td + tr + tw)) / tf)
    else:
        return 0

# Generate the pulse signal
pulse_signal = np.array([vpulse(ti) for ti in t])

# Plot pulse signal
plt.plot(t, pulse_signal)
plt.title('Pulse Generator Output')
plt.xlabel('Time (s)')
plt.ylabel('Voltage (V)')
plt.grid(True)
plt.show()

Image

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Here's the pulse signal generated for the parameters specified. The plot shows a repeating waveform with high and low states.

Next Steps:

Use this pulse signal to drive the JK flip-flop.
Define the behavior of the flip-flop.
Integrate the flip-flops in sequence and simulate their outputs.

In this simulation, each flip-flop will toggle its state based on its clock input (which is connected to the output of the previous flip-flop or the pulse generator for the first flip-flop).

JK Flip-Flop Model

We'll assume the flip-flops are ideal. JK flip-flop toggles its state on every falling edge of the clock when both J and K inputs are high.

Let's simulate this using the pulse signal as the clock input to the first flip-flop.

Python Simulation Code Example:

Python
# Define flip-flop behavior
def jk_flipflop(Q_prev, clock):
    # Toggle Q on falling edge of clock
    if clock < 0:
        return not Q_prev
    else:
        return Q_prev

# Initial conditions
Q1 = 0
Q2 = 0
Q3 = 0
Q4 = 0

# Storage for outputs
Q1_list = []
Q2_list = []
Q3_list = []
Q4_list = []

# Clock signal and flip-flop simulation
for i in range(len(pulse_signal)):
    clock_signal = pulse_signal[i]

    # Toggling flip-flops on falling edge
    if i > 0 and (pulse_signal[i-1] > 0 and clock_signal <= 0):
        Q1 = jk_flipflop(Q1, clock_signal)
        Q2 = jk_flipflop(Q2, Q1)
        Q3 = jk_flipflop(Q3, Q2)
        Q4 = jk_flipflop(Q4, Q3)
    
    Q1_list.append(Q1)
    Q2_list.append(Q2)
    Q3_list.append(Q3)
    Q4_list.append(Q4)

# Plot results
plt.figure(figsize=(12, 8))
plt.subplot(5, 1, 1)
plt.plot(t, pulse_signal, label='Clock Signal')
plt.ylabel('Clock')
plt.grid(True)

plt.subplot(5, 1, 2)
plt.plot(t, Q1_list, label='Q1')
plt.ylabel('Q1')
plt.grid(True)

plt.subplot(5, 1, 3)
plt.plot(t, Q2_list, label='Q2')
plt.ylabel('Q2')
plt.grid(True)

plt.subplot(5, 1, 4)
plt.plot(t, Q3_list, label='Q3')
plt.ylabel('Q3')
plt.grid(True)

plt.subplot(5, 1, 5)
plt.plot(t, Q4_list, label='Q4')
plt.ylabel('Q4')
plt.xlabel('Time (s)')
plt.grid(True)

plt.tight_layout()
plt.show()

Let's run this simulation to observe the behavior of the flip-flops.

Code Interpreter

Python
# Define flip-flop behavior
def jk_flipflop(Q_prev, clock):
    # Toggle Q on falling edge of clock
    if clock < 0:
        return not Q_prev
    else:
        return Q_prev

# Initial conditions
Q1 = 0
Q2 = 0
Q3 = 0
Q4 = 0

# Storage for outputs
Q1_list = []
Q2_list = []
Q3_list = []
Q4_list = []

# Clock signal and flip-flop simulation
for i in range(len(pulse_signal)):
    clock_signal = pulse_signal[i]

    # Toggling flip-flops on falling edge
    if i > 0 and (pulse_signal[i-1] > 0 and clock_signal <= 0):
        Q1 = jk_flipflop(Q1, clock_signal)
        Q2 = jk_flipflop(Q2, Q1)
        Q3 = jk_flipflop(Q3, Q2)
        Q4 = jk_flipflop(Q4, Q3)
    
    Q1_list.append(Q1)
    Q2_list.append(Q2)
    Q3_list.append(Q3)
    Q4_list.append(Q4)

# Plot results
plt.figure(figsize=(12, 8))
plt.subplot(5, 1, 1)
plt.plot(t, pulse_signal, label='Clock Signal')
plt.ylabel('Clock')
plt.grid(True)

plt.subplot(5, 1, 2)
plt.plot(t, Q1_list, label='Q1')
plt.ylabel('Q1')
plt.grid(True)

plt.subplot(5, 1, 3)
plt.plot(t, Q2_list, label='Q2')
plt.ylabel('Q2')
plt.grid(True)

plt.subplot(5, 1, 4)
plt.plot(t, Q3_list, label='Q3')
plt.ylabel('Q3')
plt.grid(True)

plt.subplot(5, 1, 5)
plt.plot(t, Q4_list, label='Q4')
plt.ylabel('Q4')
plt.xlabel('Time (s)')
plt.grid(True)

plt.tight_layout()
plt.show()

Image

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The simulation output indicates that the flip-flop states remain unchanged (all zeros), which suggests either the initial conditions or the model setup may be incorrect.

Here are some considerations for further debugging and refining the model:

Initial Conditions: Ensure the initial states of the flip-flops are correctly set.
Clock Edge Detection: Confirm proper detection of falling edges in the clock signal.
Flip-Flop Connections: Verify all flip-flops' connections are correctly set for the J and K inputs to be high (since J=K=1 ensures toggling on every clock edge).

Let's adjust the flip-flop behavior to ensure positive transitions are triggering correctly. We will refine the edge detection mechanism.

Improved JK Flip-Flop Dynamics with Edge Detection

Python
# Improved flip-flop toggling based on edge detection
def jk_flipflop(Q_prev, clock, clock_prev):
    # Detect falling edge
    if clock_prev > 0 and clock <= 0:
        return not Q_prev  # Toggle state
    else:
        return Q_prev

# Initial conditions
Q1 = 0
Q2 = 0
Q3 = 0
Q4 = 0

# Storage for outputs
Q1_list = []
Q2_list = []
Q3_list = []
Q4_list = []

# Clock signal and flip-flop simulation, with improved edge detection
for i in range(len(pulse_signal)):
    clock_signal = pulse_signal[i]
    clock_prev_signal = pulse_signal[i-1] if i > 0 else 0

    # Toggling flip-flops on falling edge
    Q1 = jk_flipflop(Q1, clock_signal, clock_prev_signal)
    Q2 = jk_flipflop(Q2, Q1, Q1_list[-1] if Q1_list else 0)
    Q3 = jk_flipflop(Q3, Q2, Q2_list[-1] if Q2_list else 0)
    Q4 = jk_flipflop(Q4, Q3, Q3_list[-1] if Q3_list else 0)
    
    Q1_list.append(Q1)
    Q2_list.append(Q2)
    Q3_list.append(Q3)
    Q4_list.append(Q4)

# Plot results
plt.figure(figsize=(12, 8))
plt.subplot(5, 1, 1)
plt.plot(t, pulse_signal, label='Clock Signal')
plt.ylabel('Clock')
plt.grid(True)

plt.subplot(5, 1, 2)
plt.plot(t, Q1_list, label='Q1')
plt.ylabel('Q1')
plt.grid(True)

plt.subplot(5, 1, 3)
plt.plot(t, Q2_list, label='Q2')
plt.ylabel('Q2')
plt.grid(True)

plt.subplot(5, 1, 4)
plt.plot(t, Q3_list, label='Q3')
plt.ylabel('Q3')
plt.grid(True)

plt.subplot(5, 1, 5)
plt.plot(t, Q4_list, label='Q4')
plt.ylabel('Q4')
plt.xlabel('Time (s)')
plt.grid(True)

plt.tight_layout()
plt.show()

Let's run the improved simulation.

Code Interpreter

Python
# Improved flip-flop toggling based on edge detection
def jk_flipflop(Q_prev, clock, clock_prev):
    # Detect falling edge
    if clock_prev > 0 and clock <= 0:
        return not Q_prev  # Toggle state
    else:
        return Q_prev

# Initial conditions
Q1 = 0
Q2 = 0
Q3 = 0
Q4 = 0

# Storage for outputs
Q1_list = []
Q2_list = []
Q3_list = []
Q4_list = []

# Clock signal and flip-flop simulation, with improved edge detection
for i in range(len(pulse_signal)):
    clock_signal = pulse_signal[i]
    clock_prev_signal = pulse_signal[i-1] if i > 0 else 0

    # Toggling flip-flops on falling edge
    Q1 = jk_flipflop(Q1, clock_signal, clock_prev_signal)
    Q2 = jk_flipflop(Q2, Q1, Q1_list[-1] if Q1_list else 0)
    Q3 = jk_flipflop(Q3, Q2, Q2_list[-1] if Q2_list else 0)
    Q4 = jk_flipflop(Q4, Q3, Q3_list[-1] if Q3_list else 0)
    
    Q1_list.append(Q1)
    Q2_list.append(Q2)
    Q3_list.append(Q3)
    Q4_list.append(Q4)

# Plot results
plt.figure(figsize=(12, 8))
plt.subplot(5, 1, 1)
plt.plot(t, pulse_signal, label='Clock Signal')
plt.ylabel('Clock')
plt.grid(True)

plt.subplot(5, 1, 2)
plt.plot(t, Q1_list, label='Q1')
plt.ylabel('Q1')
plt.grid(True)

plt.subplot(5, 1, 3)
plt.plot(t, Q2_list, label='Q2')
plt.ylabel('Q2')
plt.grid(True)

plt.subplot(5, 1, 4)
plt.plot(t, Q3_list, label='Q3')
plt.ylabel('Q3')
plt.grid(True)

plt.subplot(5, 1, 5)
plt.plot(t, Q4_list, label='Q4')
plt.ylabel('Q4')
plt.xlabel('Time (s)')
plt.grid(True)

plt.tight_layout()
plt.show()

Image

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GND

VCC

Reviews

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1.5M
Generic Resistor
A generic fixed resistor ideal for rapid circuit topology development. Its footprint automatically adapts based on the selected package case code—supporting 0402, 0603, 0805, 1203, and many other standard SMD packages, as well as axial horizontal and vertical configurations. Save precious design time by seamlessly add more information to this part (value, footprint, etc.) as it becomes available. Standard resistor values: 1.0 ohm, 10 ohm, 100 ohm, 1.0k ohm, 10k ohm, 100k ohm, 1.0M ohm 1.1 ohm, 11 ohm, 110 ohm, 1.1k ohm, 11k ohm, 110k ohm, 1.1M ohm 1.2 ohm, 12 ohm, 120 ohm, 1.2k ohm, 12k ohm, 120k ohm, 1.2M ohm 1.3 ohm, 13 ohm, 130 ohm, 1.3k ohm, 13k ohm, 130k ohm, 1.3M ohm 1.5 ohm, 15 ohm, 150 ohm, 1.5k ohm, 15k ohm, 150k ohm, 1.5M ohm 1.6 ohm, 16 ohm, 160 ohm, 1.6k ohm, 16k ohm, 160k ohm, 1.6M ohm 1.8 ohm, 18 ohm, 180 ohm, 1.8K ohm, 18k ohm, 180k ohm, 1.8M ohm 2.0 ohm, 20 ohm, 200 ohm, 2.0k ohm, 20k ohm, 200k ohm, 2.0M ohm 2.2 ohm, 22 ohm, 220 ohm, 2.2k ohm, 22k ohm, 220k ohm, 2.2M ohm 2.4 ohm, 24 ohm, 240 ohm, 2.4k ohm, 24k ohm, 240k ohm, 2.4M ohm 2.7 ohm, 27 ohm, 270 ohm, 2.7k ohm, 27k ohm, 270k ohm, 2.7M ohm 3.0 ohm, 30 ohm, 300 ohm, 3.0K ohm, 30K ohm, 300K ohm, 3.0M ohm 3.3 ohm, 33 ohm, 330 ohm, 3.3k ohm, 33k ohm, 330k ohm, 3.3M ohm 3.6 ohm, 36 ohm, 360 ohm, 3.6k ohm, 36k ohm, 360k ohm, 3.6M ohm 3.9 ohm, 39 ohm, 390 ohm, 3.9k ohm, 39k ohm, 390k ohm, 3.9M ohm 4.3 ohm, 43 ohm, 430 ohm, 4.3k ohm, 43K ohm, 430K ohm, 4.3M ohm 4.7 ohm, 47 ohm, 470 ohm, 4.7k ohm, 47k ohm, 470k ohm, 4.7M ohm 5.1 ohm, 51 ohm, 510 ohm, 5.1k ohm, 51k ohm, 510k ohm, 5.1M ohm 5.6 ohm, 56 ohm, 560 ohm, 5.6k ohm, 56k ohm, 560k ohm, 5.6M ohm 6.2 ohm, 62 ohm, 620 ohm, 6.2k ohm, 62K ohm, 620K ohm, 6.2M ohm 6.8 ohm, 68 ohm, 680 ohm, 6.8k ohm, 68k ohm, 680k ohm, 6.8M ohm 7.5 ohm, 75 ohm, 750 ohm, 7.5k ohm, 75k ohm, 750k ohm, 7.5M ohm 8.2 ohm, 82 ohm, 820 ohm, 8.2k ohm, 82k ohm, 820k ohm, 8.2M ohm 9.1 ohm, 91 ohm, 910 ohm, 9.1k ohm, 91k ohm, 910k ohm, 9.1M ohm #generics #CommonPartsLibrary
jharwinbarrozo
1.5M
Ground
A common return path for electric current. Commonly known as ground.
jharwinbarrozo
20.5M
Terminal
An electrical connector acting as reusable interface to a conductor and creating a point where external circuits can be connected.
natarius
Net Portal
Wirelessly connects nets on schematic. Used to organize schematics and separate functional blocks. To wirelessly connect net portals, give them same designator. #portal
jharwinbarrozo
43.0M
RMCF0805JT47K0
General Purpose Thick Film Standard Power and High-Power Chip Resistor 47 kOhms ±5% 0.125W, 1/8W Chip Resistor 0805 (2012 Metric) Automotive AEC-Q200 Thick Film Features: - RMCF – standard power ratings - RMCP – high power ratings - Nickel barrier terminations standard - Power derating from 100% at 70ºC to zero at +155ºC - RoHS compliant, REACH compliant, and halogen free - AEC-Q200 compliant
jharwinbarrozo
1.2M
875105359001
10 µF 16 V Aluminum - Polymer Capacitors Radial, Can - SMD 30mOhm 2000 Hrs @ 105°C #commonpartslibrary #capacitor #aluminumpolymer #radialcan
jharwinbarrozo
1.2M
CTL1206FYW1T
Yellow 595nm LED Indication - Discrete 1.7V 1206 (3216 Metric)
jharwinbarrozo
1.1M
1070TR
Battery Holder (Open) Coin, 20.0mm 1 Cell SMD (SMT) Tab bate or batt #forLedBlink
jharwinbarrozo
700.5k