MALAYSIA-JAPAN INTERNATIONAL INSTITUTE OF TECHNOLOGY ELECTRONIC CIRCUIT (SMJE 2083) SEMESTER I 2023/2024 NAME: MUHAMMAD FARUQI BIN AHMAD RAMZI MATRIC NO: A22MJ0104 YEAR/PROGRAM 2/SMJEH SECTION 1 LECTURER’S NAME DR. RASLI ABD GHANI / DR. SITI RAHMAH BINTI AID DATE 22 JANUARY 2024 ASSIGNMENT 2 Question 1 a) Illustrate and explain in details the basic structure and operation of the dual gate nchannel MOSFET. With two gates, Gate 1 (G1) and Gate 2 (G2), the dual-gate n-channel Metal Oxide Semiconductor Field-Effect Transistor (DG-MOSFET) has a special construction that improves its controllability. The base is the silicon substrate, which is linked to the source terminal. G1 mainly regulates the flow of charge carriers, or electrons, and is positioned between the source and the drain. In the meantime, G2, which is nearer the source, offers more control and modifies the channel's overall conductivity. Direct electrical contact between the gates and the semiconductor material is prevented by the insulating layer, which is usually composed of silicon dioxide (SiO2). Voltages must be applied to G1 and G2 separately for operation. While G2 enables precise modulation, G1 chooses the mode of action (enhancement or depletion). Precise transistor behaviour can be achieved with complex modifications thanks to this dual control. DG-MOSFETs are utilized in radio frequency (RF) circuits, where their improved control capabilities are useful, especially in mixers and amplifiers. All things considered, the dual-gate n-channel MOSFET provides better performance and versatility for applications needing complex modulation and control. b) Point out the reason why the D-MOSFET is used in this particular application. The BF998 Dual-Gate n-channel MOSFET is selected for the pH sensor circuit in electronic instrumentation for wastewater treatment facilities due to its advantageous characteristics. Its high input impedance is crucial in pH sensor circuits, preventing signal degradation and ensuring accurate readings by minimizing loading effects. The MOSFET's low noise figure enhances sensitivity in pH measurements, contributing to precise signal processing. The dual-gate configuration provides flexibility in adjusting the transistor's behavior, optimizing the sensor circuit's sensitivity and response to variations in pH levels. With broadband operation, the BF998 effectively handles signals across a range of frequencies, suitable for applications where pH levels result in varying signal frequencies. c) Based on the graph shown in Figure 2, classify the relation between sensor voltage and pH scale/class. Based on Figure 2, the sensor voltage is directly proportional to the pH scale. This means when the sensor voltage is increased, the pH value is also increased. d) What is the correlation of the answers from Question 1-b) and c). Discuss about it. In Question 1-b), there are various reasons for selecting the BF998 MOSFET for electronic instrumentation in wastewater treatment. These reasons included high input impedance, low noise figure, dual-gate flexibility and broadband operation. These features collectively contribute to the accuracy, sensitivity, and reliability of electronic instrumentation, especially in challenging environments such as wastewater treatment facilities. Now, in Question 1-c), it is noted that the sensor voltage is directly proportional to the pH scale. This implies that changes in the pH level directly influence the sensor voltage output. The high input impedance, low noise figure, and high gain of the BF998 MOSFET become particularly relevant in this context. The high input impedance prevents signal degradation, ensuring that the sensor voltage accurately represents pH variations. The low noise figure enhances the sensitivity of the pH sensor circuit, allowing for precise detection of small changes in sensor voltage corresponding to changes in pH levels. The high gain amplifies the weak sensor signals, making it easier to detect and measure variations in pH. e) Determine the approximate sensor voltage for a pH of 8 and pH of 3. Based on Figure 2, the approximate sensor voltage for pH 8 is 100 mV, while for pH 3, the approximate sensor voltage is -400 mV. Question 2 a) In the sensor design of Figure 3, what is the value of the voltage on the second gate? 2 ππΊπ2 =ππ·π· ( π 2π +π ) 1 = (12v) ( 100π100π ) + 100π = 6V We can find the value of voltage for the second gate using voltage divider. b) If the value stated in Question 2-a) need to be set to the lower value, what should be done. Discuss the solution for this. As shown in question 2a) we can see that ππΊπ2 is directly proportional to ππ·π· , since they are directly proportional to each other, we can reduce the value of ππ·π· making the value of ππΊπ2 lower. Aside from that, we can increase the value of π 2 πππ π 1. This will result in a larger denominator in the voltage division formula, leading to a smaller voltage at ππΊπ2 . c) What is the specified typical transconductance (transadmittance) for the BF998? Referring to datasheet provided for BF998, the specified typical transconductance for the BF998 is ππ = 24mS. d) If the drain-to-source voltage is 10V, determine the maximum allowable drain current. By using the formula, ππ·π = ππ· – ππ ππ·π = ππ·π· − πΌπ· π π· − 0 10V = 12V - πΌπ· (620Ω + 100Ω) = 2.78 x 10−3 A e) If one gate is biased to 1V, determine the πΌ π· when the other gate is 0V. When ππΊπ1 = 1V, ππΊπ2 = 0V, πΌπ· = 3ππ΄. When ππΊπ1 = 0V, ππΊπ2 = 1V, πΌπ· = 5ππ΄. Question 3 a) Construct the circuit diagram in Figure 5 and execute the simulation. Please include your Multisim circuit in the submission report. a.400mV b.350mV c.250mV d.150mV e.0mV f.-150m g.-250mV h.-350mV i.-400mV c) From the simulated results, discuss the relation between ππ πππ ππ and πππ’π‘ . In order to show relation between the two value we can use table 1.1 πππ’π‘ vs ππ πππ ππ . πππ’π‘ (ππ) 9.835 9.913 10.153 10.463 10.991 11.504 11.782 11.961 11.988 350 250 150 0 -150 -250 -350 -400 ππ πππ ππ (ππ) 400 Table 1.1 From table 1.1, we can see that as ππ πππ ππ is decrease, πππ’π‘ increase. e) Relate the π π π’ π‘ and pH for each measurement by plotting the graph (π π π’ π‘ vs pH). πππ’π‘ (ππ) 9.835 9.913 10.153 10.463 10.991 11.504 11.782 11.961 11.988 10.5 9.5 8.5 7 5.5 4.5 3.5 3 11 pH πππ’π‘ vs pH 14 12 πππ’π‘ 10 8 6 4 2 0 0 2 4 6 pH As pH level decrease, the π π π’ π‘ is increased. 8 10 12 Future Application Based on the pH sensor circuit given in this assignment, please propose one potential system (other than waste water treatment) where you can apply the pH sensor. Please include: • The background of the proposed system • The problem that needs to be solved • How the system can work with the pH sensor • References One potential system where we can apply the pH sensor is Aquaponics Monitoring System. Background: Aquaponics is a sustainable farming method that combines aquaculture (raising fish) with hydroponics (cultivating plants in water). It creates a symbiotic relationship where fish waste provides nutrients for plants, and the plants help filter and clean the water for the fish. Maintaining proper pH levels is crucial for the health of both fish and plants in an aquaponics system. Problem: In aquaponics, maintaining the right pH balance is essential for optimal nutrient uptake by plants and the well-being of fish. Fluctuations in pH can lead to nutrient deficiencies, affecting plant growth and potentially harming fish. Therefore, there is a need for a precise pH monitoring system to ensure a stable and suitable environment for aquaponics. How the System Can Work with the pH Sensor: Integrating a pH sensor circuit into the aquaponics monitoring system allows continuous monitoring of the water's pH level. The pH sensor provides real-time data, enabling automated control systems to make adjustments if pH levels deviate from the desired range. For instance, a feedback loop could trigger actions such as adjusting the rate of aeration, controlling nutrient dosing, or notifying the system operator about any potential issues. References: Al Baihaqi, M., & Ahmad, I. (2022). Development of IoT Based Aquaponic Monitoring System for Agriculture Application. Journal of Engineering Technology, 10(1), 1–6. https://bmi.unikl.edu.my/wp-content/uploads/2022/11/1_6_Development-of-IoT-BasedAquaponic-Monitoring-System-for-Agriculture-Application_2022100001.pdf Alselek, M., Alcaraz-Calero, J. M., Segura-Garcia, J., & Wang, Q. (2022). Water IoT Monitoring System for Aquaponics Health and Fishery Applications. Sensors, 22(19), 7679. https://doi.org/10.3390/s22197679