lab2_fall2007 - LAB 2 C PROGRAMMING TECHNIQUES 2.1 LAB...

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Unformatted text preview: LAB 2 C PROGRAMMING TECHNIQUES 2.1. LAB OBJECTIVE Lab 2 objectives include the following More C programming techniques Programming with loops (for loop, while loop etc.) Use of arrays The use of functions Performing a numerical simulation in C and plotting the results using MATLAB 2.2. BACKGROUND Review Chapter 17 of Mechatronics and the online C tutorial paying particular attention to the following concepts if statement for loops while statement array declaration function declaration Adding comments to the program 2.2.1. break statement The break statement can be used to exit from loops (for, while). The following two programs produce identical results /* First program */ #include <stdio.h> #include <conio.h> /* conio declares console i/o functions like getch */ void main() { char a=’a’; while(a != 'q') { a = getch(); printf("You typed in %c\n", a); } } /* Second program */ #include <stdio.h> #include <conio.h> /* conio declares console i/o functions like getch */ void main() { char a=’a’; while(1) { a = getch(); printf("You typed in %c\n", a); if(a == 'q') break; } } 2.2.2. continue statement The continue statement is used to bypass the remainder of the current pass through a loop. The loop does not terminate when a continue statement is encountered. Rather, the remaining loop statements are skipped and the computation proceeds to the next pass through the loop. For example, consider a program that prompts a user for an input and calculates the square root of the number. Whenever a negative number is encountered we want to ignore the input. #include <stdio.h> #include <math.h> /* declares math functions */ void main() { int i; double x,y; for(i=0; i < 10; i++) { printf("\n Enter a positive number: "); scanf("%lf",&x); if (x < 0.0) continue; /* ignore this dope’s input */ y = sqrt(x); printf(“\nThe square root of %f is %f\n”,x,y); } /* end of for */ /* end of main */ 2.2.3. Functions/Subroutines Functions (a.k.a. subroutines) are used to break down a large program into a number of smaller, self contained components each of which has some unique purpose. This is called a modular programming approach. There are several advantages to this approach including repeated access to a group of instructions a different set of data can be transferred to the function each time it is accessed more logical and clear programs one can build a customized library of functions avoiding repetitive programming between programs For example, the following program utilizes a function called max, which returns the greater of the two arguments passed to it. Note that functions should appear before the main subroutine or should be declared using a function prototype. See the online tutorial for more details on functions. #include <stdio.h> /* max returns the maximum of two values */ float max(float a, float b) { if (a>b) return(a); else return(b); } /* start of { float float float main main() x1=5., y1 = 10.; x2 = 15., y2 = 20.; z1, z2; z1 = max(x1,y1); z2 = max(x2,y2); printf(“\nThe greater of %f and %f is: %f \n”,x1,y1,z1); printf(“\nThe greater of %f and %f is: %f \n”,x2,y2,z2); } 2.2.4. Debugging Tools: Single Stepping Through Programs During the lab your TA will demonstrate how to use the debugging tool available with Developer Studio. You will learn how to single step through a program and observe the values of variables at different program execution stages. This can be an invaluable tool in debugging your code and is much simpler than using printf statements to determine variable values. Single step through the following program and note the values of num1, num2, &num1, &num2 and pnum at each step of the program. Turn in these values with your postlab report. #include <stdio.h> main() { int num1 = 5, num2 = 10; int* pnum = NULL; pnum = &num1; *pnum +=10; pnum = &num2; num1 = *pnum; } 2.3. PRELAB Written hand in required. 1. The function sin(x) can be approximated by summing the first n terms of the infinite series sin(x) = x – x3/3! + x5/5! – x7/7! + … where x is expressed in radians (Note: radians = 180o). Write a C program that can be used to answer the following questions during the lab: a) For a value of x = 0.1, how many terms do you need in the power series so that the result from the series equals the result from the sin(x) library function up to the 6th decimal place. b) For a value of x = 1.3, how many terms do you need for achieving the same accuracy as in (a)? Assume that there exists a function double fact(int n) that returns the factorial value of an integer as a double. This function will be given to you. There is a standard C function double pow(double x, double y) that returns the result of x to the power y as a double type. You will need to include math.h to use this function (#include <math.h>). 2. Write a program that uses nested "for" loops to sort an array of integer numbers. Input = [9 4 5 2 3 0 8 1 7 6]; Output = [0 1 2 3 4 5 6 7 8 9]; Hint: The on-line C tutorial contains an example program that uses while loops. 3. Write a program to solve the RC-circuit shown below. Write a program that calculates the capacitor voltage after the switch is closed. The capacitor is initially uncharged. Perform the simulation for a duration of five seconds. Use VDC = 0.5 volts Steps: 1) 2) Write the differential equation for the circuit after the switch is closed. The equation should be in terms of R, C, Vc, and VDC . Approximate the differential equation with a finite difference equation. Use the first order forward difference equation dVc Vc (i 1) Vc (i) dt stepsize to approximate the derivative. Numerically solve the above difference equation for Vc(i+1). 3) Write a C program that iterates the difference equation and prints out the voltage at each time instant. Analysis: a) Use a simulation time step of 0.1 seconds. Use the following values of R and C a) R = 10,000 ohms, C = 0.0002F b) R = 5,000 ohms, C = 0.0001F b) Use a simulation time step of 0.5 seconds. Use the following values of R and C a) R = 10,000 ohms, C = 0.0002F b) R = 5,000 ohms, C = 0.0001F 2.4. LAB PROCEDURE 1. Implement the sin(x) series approximation program. 2. Implement the sorting algorithm program. 3. Implement the RC-circuit solution program. Print the capacitor voltage at each instant of time on a newline. The capacitor voltage values at different instants of time should be stored in a file. This file will then be retrieved under MATLAB for plotting. This is done as follows: Go to the DOS prompt for running the program. Change to the project directory, such as ‘lab2’. The exe file is inside a directory called “debug”. Change to this directory. Z:> cd lab2\debug <CR> At the command prompt type: Z:> lab2 >> datafile <CR> The ‘>>’ command directs the output of the program lab2.exe into a file with the name datafile. To use this datafile in MATLAB type “load” at the MATLAB prompt. >> Vc = load(’datafile’) <CR> The command “load” calls a MATLAB function that reads in data from a file and stores the data in array variable called Vc. You can use this variable for plotting the capacitor voltage with respect to time. For plotting, create an array of time values beginning from 0 to 5 seconds in 0.1 second increments (t = [0:0.1:5]). The MATLAB command plot(t,Vc) will then produce the appropriate plot. Note how quickly the voltage rises towards its final value in each of the two cases (a) and (b) for both simulation time-steps. Also, note how the change in simulation time-step changes the simulation results. 2.5. POSTLAB AND LAB REPORT Questions: 1. Find the analytical solution of the capacitor voltage as function of time, R, C, and VDC . What is the time constant of the system? What is the value of the time constant in each of the two cases (1a) and (1b)? 2. For the case (1a), determine the analytical solution of the capacitor voltage at time t = 3 seconds. What is the error between the analytical and numerical solutions at time t = 3 seconds? Give two reasons for the error. 3. Plot both the analytical solution and the simulation solution you obtained during the lab and compare using Matlab for each of the cases (1a), (1b), (2a) and (2b). Do the analytical time constant values agree with the values observed from your simulated data? In which case(s) did the simulation not work well? Can you explain why? Lab 2 report requirements: a) Detailed solutions to the above three questions. b) Hard copy of your commented sin(x) series approximation program. c) Submit a commented copy of your sorting program. d) Hard copy of your commented capacitor simulation program. e) Turn in the debugging results required in section 2.2.4. f) MATLAB plot of the capacitor voltage versus time for the two different values of R and C used in the lab. ...
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This note was uploaded on 02/07/2012 for the course ME 4231 taught by Professor Staff during the Fall '08 term at Minnesota.

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