Solve problem 2 please. someone who have matlab.

Reference: Posted Notes. Problem 1: Thermistor modeling and data range A thermistor is used in an experiment setup shown in Fig. 1, and the measurement results are shown in Table 1. The goal of this problem is to get a model equation based on application requirement. Assume an application where the thermistor to be used in monitoring the outdoor temperature in the Khobar area. a. Select the appropriate data range from data in table 1 and explain your reasoning b. Use Excel or Matlab to get a model equation for the above application. Explain the how you selected the NTC Thermister ..ie typicaly 10@25C Figl model equation general function (linear, polynomial..). c. Verify the obtained model accuracy (using data, table 1). Submit all relevant fitting plots. Problem 2: Thermistor Standard Model. a. Use Matlab to fit the thermistor data using the standard Ln equation (Steinhart-Hart with a, b, c coefficients) for same data, table1 Table.l b. Repeat assuming same model but neglect c (c-0) c. Compare the accuracy of all three model equations (a, b and question lb) Te mpR C) (Ohm) 1032650.8 2525398.5 310 19903.5 15714 Problem 3: RTD modeling and self-heating Three RTD sensors are placed in a variable T oven then cooled in liquid Nitrogen. The measured data is shown in table 2. a. Use Excel to fit the RTD data for the three resistors and get the three linear model 4 15 520 12493.7 b. Repeat assuming the standard polynomial model (second degree with A, B, C coefficients). Compare the two models and find the error if linear one is used (compute for T-4S C) The RTD is connected to a current source, 1 = 1.17mA, and reading is taken at T-26"C at different times (0 to 180 sec) as shown in table 3. Estimate the self- heating effect. 62510000 8056 8356530.1 940 5324.9 1045 4366.9 3601 1255 2985.1 13 60 2437.1 1465 2032.3 1570 1751.6 16 75 1480.12 1780 1256.17 18 85 1070.58 19 90 916.11 786.99 21 100 678.63 22105 587.31 23 110 510.06 24 115 444.8 25 120 383.59 26 125 340.82 27 130 299.82 28 135 264.54 29 140 234.08 30 145 207.7 31150 184.79 c. 730 d. Table. 2 115 Calculated T Temp Time (s) R (Ohms Power (W) Heat Joules) deg 27.73640898 110.5228 0.000319411 0.01916465427.83740648 120 110.5508 0.000319492 0.038339017 27.90723192 110.4823 0.000319294 60 Table. 3 R2 110.1704110.2731110.1267 Rl R3 20 95 263 40 50 60 70 119.1027119.223 119.0943 123.3417 123.4838 123.3945 127.32241274727 127.3968 Dr. Yahya Reference: Posted Notes. Problem 1: Thermistor modeling and data range A thermistor is used in an experiment setup shown in Fig. 1, and the measurement results are shown in Table 1. The goal of this problem is to get a model equation based on application requirement. Assume an application where the thermistor to be used in monitoring the outdoor temperature in the Khobar area. a. Select the appropriate data range from data in table 1 and explain your reasoning b. Use Excel or Matlab to get a model equation for the above application. Explain the how you selected the NTC Thermister ..ie typicaly 10@25C Figl model equation general function (linear, polynomial..). c. Verify the obtained model accuracy (using data, table 1). Submit all relevant fitting plots. Problem 2: Thermistor Standard Model. a. Use Matlab to fit the thermistor data using the standard Ln equation (Steinhart-Hart with a, b, c coefficients) for same data, table1 Table.l b. Repeat assuming same model but neglect c (c-0) c. Compare the accuracy of all three model equations (a, b and question lb) Te mpR C) (Ohm) 1032650.8 2525398.5 310 19903.5 15714 Problem 3: RTD modeling and self-heating Three RTD sensors are placed in a variable T oven then cooled in liquid Nitrogen. The measured data is shown in table 2. a. Use Excel to fit the RTD data for the three resistors and get the three linear model 4 15 520 12493.7 b. Repeat assuming the standard polynomial model (second degree with A, B, C coefficients). Compare the two models and find the error if linear one is used (compute for T-4S C) The RTD is connected to a current source, 1 = 1.17mA, and reading is taken at T-26"C at different times (0 to 180 sec) as shown in table 3. Estimate the self- heating effect. 62510000 8056 8356530.1 940 5324.9 1045 4366.9 3601 1255 2985.1 13 60 2437.1 1465 2032.3 1570 1751.6 16 75 1480.12 1780 1256.17 18 85 1070.58 19 90 916.11 786.99 21 100 678.63 22105 587.31 23 110 510.06 24 115 444.8 25 120 383.59 26 125 340.82 27 130 299.82 28 135 264.54 29 140 234.08 30 145 207.7 31150 184.79 c. 730 d. Table. 2 115 Calculated T Temp Time (s) R (Ohms Power (W) Heat Joules) deg 27.73640898 110.5228 0.000319411 0.01916465427.83740648 120 110.5508 0.000319492 0.038339017 27.90723192 110.4823 0.000319294 60 Table. 3 R2 110.1704110.2731110.1267 Rl R3 20 95 263 40 50 60 70 119.1027119.223 119.0943 123.3417 123.4838 123.3945 127.32241274727 127.3968 Dr. Yahya