The words you are searching are inside this book. To get more targeted content, please make full-text search by clicking here.

PROCESS_SYSTEMS_ANALYSIS_AND_CONTROL_SOL

Discover the best professional documents and content resources in AnyFlip Document Base.
Search
Published by maayahsubadev, 2023-03-03 07:01:06

PROCESS_SYSTEMS_ANALYSIS_AND_CONTROL_SOL

PROCESS_SYSTEMS_ANALYSIS_AND_CONTROL_SOL

Soln. Balances at each node (1) = R – C ------------------(a) (2) = 2 (1) = 2(R – C) ------------------(b) (3) = (2) – (4) = 2(R – C) – (4) -------------------(c) (4) = (3)/s = (2(R – C) – (4))/s -------------------(d) (5) = (4) – C -------------------(e) C = 2(5) -------------------(f) Solving for (4) using (d) s (4) = 2(R – C) – (4) (4) = 2(R – C) / (s +1) Using (e) (6) = 2(R – C) / (s +1) – C ( )       − − + = R C C s C 1 2 2 ( ) 3 7 4 4 ( )1 4 (2 )1 + = = + + + + R s C R C s s Q – 12.4. Derive the transfer function Y/X for the control system shown


Soln. Balance at each node (1) = (5) + X -----------------(a) (2) = (1) – (4) -----------------(b) (3) = (2)/s ------------------(c) Y = (3)/s ------------------(d) (5) = 2 (3) ------------------(e) (4) = 25Y ------------------(f) From (b) (4) = (1) – (2) = (1) – s (3) from (c) = (1) – s2 Y from (d) = (5) + X - s2 Y from (a) = 2 (3) + X - s2 Y from (e) = 2 s Y + X - s2 Y From (f) Y = (2 s Y + X - s2 Y)/25 X = Y( 25 – 2s + s2 ) 2 25 1 2 − + = X s s Y


13.1 The set point of the control system in fig P13.1 given a step change of 0.1 unit. Determine (a) The maximum value of C and the time at which it occurs. (b) the offset (c) the period of oscillation. Draw a sketch of C(t) as a function of time. ( 1)(2 )1 5 1 ( 1)(2 )1 5 + + + + + = s s K s s R C 2 3 9 8 2 + + = R s s C s R 1.0 = b) .0 0889 9 8.0 2 3 9 8.0 ( ) 2 0 = = + + ∞ = → s s C Lt S offset = 0.0111 c) 2 2 1 3 1 2; 3 2 ; 9 8.0 K = τ = ξτ = ⇒ξ =


overshoot = .0 305 1 exp 2 =         − − ξ πξ = Maximum vslue of C = 1.0305*0.0889=0.116 Maximum value of C = 0.116                         − − + − = − − − ξ ξ τ ξ ξ τ ξ 2 2 1 2 1 sin 1 tan 1 1 1 9 8.0 .0 116 t e t 6.1 1 tan 1 2 1 2 = − − = − ξ ξ ξ τ t Time at which Cmax occurs = 1.6 (c ) Period of ociullation is .3 166 1 2 2 = − = ξ πτ T T =3.166 Decay ratio = (overshoot)2 = 0.093


13.2 The control system shown in fig P 13.2 contains three-mode controller. (a) For the closed loop, develop formulas for the natural period of oscillation τ and the damping factor ξ in terms of the parameters K, D τ , I τ and 1 τ . (b) Calculate ξ when K is 0.5 and when K is 2. (c ) Do ξ & τ approach limiting values as K increases, and if so, what are these values? (d ) Determine the offset for a unit step change in load if K is 2. (e ) Sktech the response curve (C vs t) for a unit-step change IN LOAD WHEN k is 0.5 and when K is 2. (f) In both cases of part (e) determine the max value of C and the time at which it occurs.         + + + +         + + + = s s s k s k s s R C a I D I D τ τ τ τ τ τ 1 1 1 1 1 1 1 1 ) 1 1 ( )                 + + + + + = s k s s s U C I D τ τ τ τ 1 1 1 1 1 1 1 1 1 = 1 2 1  +      +  +      + s k k s k k s I I I I D I τ τ τ τ τ τ         + + + +         + + = s s k s s k s R C I D I D τ τ τ τ τ 1 1 1 1 1 1


( ) k s k s k k s s R C I D I I D I I + + + + + + = τ τ τ τ τ τ τ τ ( ) ( )1 1 2 1 2 k k k k I D I I τ τξ τ τ τ τ ( )1 2; ( ) 2 + = + = k k k k I D I I τ ξ τ ( τ τ ) ( )1 2 + = + = × 2 ( ) ( )1 1 τ τ τ ξ + + = = D I k k k 2 ( ) 4 ( ) ( )1 ( ) 2 1 2 1 2 1 1 2 τ τ τ τ τ τ τ τ π ξ τπ + + − + + × = − = = D D D I D k k k k k k k T 1 2 1 4 ( )1 4 ( ) − +                 +        + = k k k k T I I D D τ τ τ τ π τ τ B) D τ = I τ =1; 1 τ .=2 For k = 0.5 ; ξ =0.75 .0 671 )5.2(5.0 1 = For k = 2 ; ξ =1.5 .0 530 2 3 1 = × C)       +       + = + + = = k k k k k I D I D I τ τ τ τ τ τ ξ 2 1 2 1 1 2 1 ( ) ( )1 2 1


As .0 3535 2 1 , 1 → ∞ = = τ τ ξ I k 1 2 1 4 ( )1 4 ( ) − +                 +        + = k k k k T I I D D τ τ τ τ π τ τ k k I D I τ τ τ τ τ + 1 = k I I D 1 τ τ τ = τ τ + K I D τ = τ τ →∞ =1 .7 2552 4 1 4 , = − → ∞ = I D D As k T τ τ πτ (d)         + + + + + = s s s k s U C I D τ τ τ τ 1 1 1 1 1 1 1 1 k s k s k s U C I D I I + + + + = 2 1 ( )1 τ (τ τ )τ τ s U 1 = k s k s k C I D I I + + + + = 2 1 ( )1 τ (τ τ )τ τ 0 0 ( ) 0 = = → k Lt sf s S


K=2 For a unit step change in U C(∞) = 0 Offset = 0 (e) k = 0.5, ξ =0.671 & τ =2.236 18.95 1 2 2 = − = ξ πτ T If k = 0.5 5 3 1 2 2 + + = s s s U C ; 5 3 1 2 + + = s s s C If k = 2 2 1.5 1 5.0 2 + + = s s s U C ; 2 1.5 1 5.0 2 + + = s s C In general τ ξ τ ξ τ ξ t C t e t 2 2 sin 1 1 1 1 ( ) − − = − The maximum occurs at ξ ξ ξ τ 2 1 2 1 tan 1 − − = − t If k = 0.5 tmax = 2.52 Cmax=0.42 If k = 2 tmax = 1.69 Cmax=0.19


13.3 The location of a load change in a control loop may affect the system response. In the block diagram shown in fig P 13.3, a unit step chsange in load enters at either location 1 and location 2. (a) What is the frequency of the transient response when the load enters at location Z? (b) What is the offset when the load enters at 1 & when it enters at 2? (c) Sketch the transient response to a step change in U1 and to a step change in U2. ; 0 1 1 = U2 = s U C s s S R C U  =      +       + − + 2 1 1 2 1 2 ( ( ) ) 1


R = 0 4 4 11 2 2( )1 1 2 5 2( )1 2 2 2 2 1 + + = + + × + = s s s s U C 4 4 11 2 2 1 + + = U s s C 11 1 11 4 2; 11 2 ; 11 2 K = τ = ξτ = ⇒ξ = .0 2516 2 10 2 1 1 2 1 1 2 = = − = = = τ π ξ T π Frequency f C(∞) = 2/11 Offset = 2/11 =0.182 U1=0;U2=1/s C s R C U s  =      +       − + + ⇒ × 2 1 1 ( ) 2 1 2 5 2 R=0


1 2 1 1 2 1 10 2 1 1 2 + + × + + ⇒ = s s s U C 4 4 11 2 1 2 2 + + + = s s s U C C(∞) = 1/11 Offset = 1/11=0.091 a) if ; 1 1 s U = frequency = 0.2516 if ; 1 2 s U = frequency = 0.2516 b)if ; 1 1 s U = frequency = 0.182 if ; 1 2 s U = frequency = 0.091


13.5A PD controller is used in a control system having first order process and a measurement lag as shown in Fig P13.5. (a) Find the expressions for ξ and τ for the closed –loop response. (b) If τ1 = 1 min, τm = 10 sec, find KC so that ξ = 0.7 for the two cases: (1) τD =0,(2) τD =3 sec, (c) Compare the offset and period realized for both cases, and comment on the advantage of adding derivative mode. ( 1)( )1 1( ) 1 ( )1 1( ) ) 1 1 + + + + + + = s s K s s K s R C a m C D C D τ τ τ τ τ


( ) ( )1 1( )(1 ) 1 2 1 + + + + + + + = m m C D C C D m s K s K K s s R C τ τ τ τ τ τ τ = 1 2 1 + = C m K τ τ τ 1 1 + = C m K τ τ τ 2 ( )1 1 1 1 + + + = m C m C D k k τ τ τ τ τ ξ b) 7.0 1min; 10 ; τ 1 = τ m = s ξ = 1) 600( )1 70 2 1 7.0 0 + ⇒ = × = C D k τ kc=3.167 2) .5 255 600( )1 70 3 2 1 7.0 3 = + + ⇒ = × = C C C D k k k τ s c)for 1 ; ( ) 1 + = ∞ = C C k k c s R


for s period s period for period period for s C offset For C offset D D D D = = − = = = = − × = = = ∞ = = = ∞ = = 86.17 1 ( )7.0 .6 255 600 2 3 ; 105.57 1 .4 167 600 2 ;0 3 ; ( ) .0 84; .0 16 ;0 ( ) .0 76; .0 24 2 2 π τ ξ π τ τ τ Comments: Advantage of adding derivative mode is lesser offset lesser period 13.6The thermal system shown in fig P 13.6 is controlled by PD controller. Data ; w = 250 lb/min; ρ = 62.5 lb/ft3 ; V1 = 4 ft3 ,V2=5 ft3 ; V3=6ft3 ; C = 1 Btu/(lb)(°F) Change of 1 psi from the controller changes the flow rate of heat of by 500 Btu/min. the temperature of the inlet stream may vary. There is no lag in the measuring element. (a) Draw a block diagram of the control system with the appropriate transfer function in each block.Each transfer function should contain a numerical values of the parameters. (b) From the block diagram, determine the overall transfer function relating the temperature in tank 3 to a change in set point. (c ) Find the offset for a unit steo change in inlet temperature if the controller gain KC is 3psi/°F of temperature error and the derivative time is 0.5 min.


WT0C + q = ρCV1 (T1 −T0 ) +WT1C WT1C = ρCV2 (T2 −T1 ) +WT2C WT2C = ρCV3 (T3 −T2 ) +WT3C ( ) ( ) 0 1 T1 W C CV1 T WC+ ρCV + q = + ρ 1 1 0 WC CV q T T + ρ = + T1= T2 = T3 ⇒ + = + 1 3 0 WC CV q T T ρ ( ) WC CV s q s T s 1 3 ( ) ( ) + ρ = 13.6 (b) ( 1)( .1 25 1)( 5.1 )1 2 1 1( ) ( 1)( .1 25 1)( 5.1 )1 2 1( ) ( ) ( ) ' 3 + + + + + + + + + = s s s k s s s s k s R s T s C D C D τ τ = ( 1)( .1 875 .2 75 )1 2 1( ) 2 1( ) ( ) ( ) 2 ' 3 s s s k s k s R s T s C D C D τ τ + + + + + + = .1 875 .4 625 .3( 75 2 ) 2 1 2 1( ) ( ) ( ) 3 2 ' 3 + + + + + + = C D c C D s s k s k k s R s T s τ τ


c) kC=3; s offset s D 1 ,5.0 ?, ( ) ' τ = = τ 0 = .1 875 .4 625 .3( 75 2 ) 2 1 1 ( ) ( ) 3 2 0 ' ' 3 i s→ s + s + + kC D s + kC + Lt T s T s τ = .0 143 7 1 2 1 1 = = kC + Offset =0.143 13.7 (a) For the control system shown in fig P 13.7, obtain the closed loop transfer function C/U. (b) Find the value of KC for whgich thre closed loop response has a ξ of 2.3. (c) find the offset for a unit-step change in U if KC = 4. C s R C U s s KC  =      − + + + × 1 ( ) .0 25 1 1 = .0 25 1 1 1 . 1 + + + = s s s K s U C C


.0 25 ( )1 .0 25 1 2 + + + + = s s K s s U C C C KC s K s s U C (4 )1 4 4 2 + + + + = b) ξ=2.3 C C C K K K 1 2; 4 1 + τ = ξτ = = C C C K K K 1 2 3.2 4 1 + × = 3.2 1 = + = C C K K KC=2.952 C) KC=4,U = 1/s = 20 16 1 4 2 + + + = × s s s s C 4 1 C(∞)= offset = 0.25. 13.8 For control system shown in Fig 13.8 (a) C(s)/R(s) (b) C(∞) (c) Offset (d) C(0.5) (e) Whether the closed loop response is oscillatory.


(a) ( )1 4 1 ( )1 4 + + + = s s s s R C 4 4 2 + + = R s s C b) C(∞) =2*1=2 C(∞) =2 C) offset = 0 d) 4 1 4 1 2; 2 1 τ = ξτ = ⇒ξ =       +       − = − − − tan 15 4 15 sin 4 1 1 1 1 2 ( ) 2 1 2 τ t e C t t =               = − + − − tan 15 4 15 sin 15 4 )5.0( 2 1 4 1 1 C e C(0.5)=0.786 .e) ξ<1, the response is oscillatory. 13.9 For the control system shown in fig P13.9,determine an expression for C(t)


if a unit step change occurs in R. Sketch the response C(t) and compute C(2). 2 1` 1 1 1 1 1 1 + + =       + + + = s s R C s s R C 2 2 1 ( ) 1 2 1 1 1 2( )1 1 1 t C t e s s s s s C s R − = − + − = + + + = = C(2) = 0.816 13.10 Compare the responses to a unit-step change in a set point for the system shown in fig P13.10 for both negative feedback and positive feedback.Do this for KC of 0.5 and 1.0. compare the responses by sketching C(t).


-ve feed back : ( + ( +1)) = C C s s K K C +ve feed back 1 1 1 1 1 + − + × = s K s K R C C C ( 1( )) C C s s K K C + − = For KC = 0.5 , response of -ve feed back is 2 3 3 2 3 1 2( )3 1 + − = + + = s s s s C 1( ) 3 1 3 1 3 1 ( ) 2 3 2 3t t C t e e − − = − = − response of +v feed back is


2 ( ) 1 2 1 1 2 2( )1 1 t C t e s s s s C − = − + − = + + = For KC = 1, response of -ve feed back is t C t e s s s s C 2 2 1 2 1 ( ) 2 2 1 2 1 ( )2 1 − = − + − = + + = response of +ve feed back is C t t s C = = ( ) 1 2 14.1 Write the characteristics equation and construct Routh array for the control system shown . it is stable for (1) Kc= 9.5,(ii) KC =11; (iii) Kc= 12 Characteristics equation


6 11 6( 6 ) 0 ( 6 11 6( 6 ) 0 ( 1)( 2)( )3 6 0 0 ( 1)( 2)( )3 6 1 3 2 2 + + + + = + + + + = + + + + = = + + + + s s s Kc s s s Kc or s s s Kc s s s Kc Routh array 1(6 ) 6 6( 6 ) 1 11 2 3 s Kc s Kc s + + For Kc=9.5 = 10-(Kc)= 10-9.5=0.5>0 therefore stable. For Kc=11 = 10-(Kc)= 10-11=-1<0 therefore unstable For Kc=121 = 10-(Kc)= 10-12=--2<0 therefore unstable 14.2 By means of the routh test, determine the stability of the system shown when KC = 2. Characteristic equation 0 2 4 10 10 2 3 1 2 1 2  =      + +       + + s s s


2 25 60 0 2 4 50 120 0 2 4 10 40 120 0 2( 4 10) (2 3). .2 10 0 3 2 3 2 3 2 2 + + + = + + + = + + + + = + + + + = s s s s s s s s s s s s s s Routh Array 1 25 2 60 -10/2 The system is unstable at Kc = 2. 14.4 Prove that if one or more of the co-efficient (a0,a1,….an) of the characteristic equation are negative or zero, then there is necessarily an unstable root Characteristic equation : .................................. 0 1 0 + 1 + + = − n n n a x a x a ( / ....................... / 0 ) 0 1 0 + 1 0 + = − a x a a x an a n n , ............................. 0 ( )( )....................( ) 0 1 2 0 1 2 < − − − = n n We have a x x x α α α α α α As we know the second co-efficient a1/a0 is sum of all the roots ( )1 2/ 1 1 2 0 1       = − ∑ ∑= = n j i j n a i a α α Therefore sum of all possible products of two roots will happen twice as α1α 2 dividing the total by 2. And / 0 0 0 ( 0 )0 ∴ 2 0 > ⇒ 2 > > < < a a a α iα j α i α j Similarly


(0 1,....... ) / 0 ( )1 ( )1 0 0 ( )1 1 0 / 0 ( )1 ( ) 0 0 0 0 so a for j n in both case a a is again a a if j odd is and the sum is so if j even is and the sum is so a a sum of aoll possible products of j roots a a j j j j j j j j > = > = − − < > = − > > = − 14.5 Prove that the converse statement of the problem 14.4 that an unstable root implies that one or more co-efficient will be negative or zero is untrue for all co-efficient ,n>2. Let the converse be true, always .Never if we give a counter example we can contradict. Routh array 0 2 3 3 2 1 0 1 3 1 2 2 3 s s s s s s s − + + + System is unstable even when all the coefficient are greater than 0; hence a contradiction, 14.6 Deduce an expression for Routh criterion that will detect the Presence of roots with real parts greater than σ for any rectified σ >0 Characteristic equation ................................. 0 1 0 + 1 + + = − n n n a x a x a Routh criteria determines if for any root, real part > 0. Now if we replace x by X such that


.x + σ =X Characteristic equation becomes ( ) ( ) ................................. 0 1 0 − + 1 − + + = − n n n a X σ a X σ a Hence if we apply Routh criteria, We will actually be looking for roots with real part >σ rather than >0 ................................. 0 2 2 1 0 + 1 + + = − − n n n n a x a x a x a Routh criterion detects if any root α j is greater than zero. Is there any , ,..............., ,.......... 0 )1( x = α1 α 2 α j α n > − − − − − Now we want to detect any root )1( 0 From j j > > − α α σ


α σ α σ σ σ α σ σ α σ σ α σ σ α σ σ α α α α α α α α > − + > = + + = + > + = + > + = + > + = + > = > = > = > = > = > j j n j n j j n or and apply Routh criteria to ect any so Let X x x x x x is there any add on both sides x x x x implies is there any x det 0 , 0 . . . . 0 . . . 0 0 0 . . . 0 . . . 0 0 , ,............................ ,.......................... , 0 2 1 2 1 1 2 14.7 Show that any complex no S1 satisfying S < ,1 yields a value of s s Z − + = 1 1 that satisfies Re(Z)>0, Let S=x+iy, 1 2 2 x + y <


ss Z −+ = 11


( )       − + = + > < + + − < = = = − = + + − − + > + < − < < − < < + < + < − + + > > − + > − + + − + = − + + − + + = + − + − + = + − − − + − + − − + + − 5.0( )5.0 1 5.0( )5.0 : Re( ) 0 0 1( ( ) 2 ) 4 1 & 0 0 1& 0 4 1 ( ) 2 1 ( ) 0 1 1 1 int 1 1 1 1 1 2 ( ) 0 Re( ) 0 1 ( ) 0 1 2 ( ) 1 ( ) Re( ) 1 2 ( ) 1 ( ) 2 1 2 1( 1( 1 ) ) 1( ) 1( ) 1( ) 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 s i L if s i the system isunstable due to the real part example z x y x if x y then it is if x y then it is x y x Now x y is true therefore x y y Po s in the unit circle Ranges are x x y we have x y x x y if z then x y and x x y x y Z x x y x y iy x x y x x x iy y x iy x iy x iy x iy


( 5.0 5.0 ) 5.0( )5.0 1 1 5.0 e Cos t Sin t s i L t = +       − + − 14.8 For the output C to be stable, we analyze the characteristic equation of the system ( )1 0 ( 1)( )1 1 1 1 3 1 2 × + = + + + s s s s I τ τ τ τ ( ) ( ) 1 0 ( )1 1 0 3 2 1 2 3 1 2 2 1 2 3 2 1 + + + + + = + + + + + = s s s s s s s s I I I I τ τ τ τ τ τ τ τ τ τ τ τ τ τ Routh Array 1 0 ( ) 1 0 1 2 2 1 2 3 3 s s s s I I I α τ τ τ τ τ τ τ τ + + ( ) ( )( ) 1 2 1 2 3 1 2 τ τ τ τ τ τ τ τ τ τ τ α + + + − = I I I I Now )1( 0 τ I τ 2 τ 1 > Since 1 & 2 τ τ are process time constant they are definitely +ve ;0 0 τ 1 > τ 2 > (2) ( ) 0 τ I τ 1 +τ 2 > (3) 1 2 3 1 2 α 0 τ (τ τ )(τ τ ) τ τ τ > ⇒ I + I + > I


0 ( ) ( ) 0 3 1 2 1 2 1 2 1 2 3 1 2 1 1 3 2 2 3 1 2 > − + > + > − + + + + − > I I I I I also τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ 14.9 In the control system shown in fig find the value of Kc for which the system is on the verge of the instability. The controller is replaced by a PD controller, for which the transfer function is Kc(1+s). if Kc = 10, determine the range for which the system is stable. Characteristics equation 6 11 6( 6 ) 0 ( 3 2)( )3 6 0 ( 1)( 2)( )3 6 0 0 ( 1)( 2)( )3 6 1 3 2 2 + + + + = + + + + = + + + + = = + + + + s s s Kc s s s Kc or s s s Kc s s s Kc Routh array       + − + ) 3 1 3 3 1 1 3 2 3 Kc s s Kc s


For verge of instability 8 ) 3 1 3 =       + = Kc Kc Characteristics equation 0 ( 3)1 10 1( ) 1 = + + + s kcs 3 3( 10 ) 11 0 3 2 s + s + s + Kcs + = Routh Array /2 30 30 2 3(3 10 ) 11 3 11 1 3 10 2 3 > > + > + D S s D for vege s s s τ τ τ τ 14.10 (a) Write the characteristics equation for the central system shown (b) Use the routh criteria to determine if the system is stable for Kc=4 © Determine the ultimate value of Kc for which the system is unstable (a) characteristics equation


2 3 1( ) 2 0 ( )(2 )1 ( )2 0 0 ( )1 1 2 1 1 3 2 1 3 2 2 + + + + = + + + + = = +       =       + + s s kc s kc s s s kc s s s s kc 3 3 1( ) 0 3 2 s + s + s + + kc = Kc=4Routh array 3 ;0 3 0 3 1(3 ) 4 3/1 3 8 2 5 2 3 − = = = + − − Kc Kc kc kc not stable s s s For verge of instability 14.11 for the control shown, the characteristics equation is 4 6 4 1( ) 0 4 3 2 s + s + s + s + + k = (a) determine value of k above which the system is unstable. (b) Determine the value of k for which the two of the roots are on the imaginary axis, and determine the values of these imaginary roots and remaining roots are real. 0 4 6 4 1( ) 4 3 2 s + s + s + s + + k =


k s k s k s s k + − + + + 1 1 1( ) 5 4 4 5 1 4 4 1 1(6 ) 2 3 4 For the system to be unstable 1 1 1 0 4 5 1 1 0 5 1 4 1 > − < − + < > + < <              + − k k k k k k The system is stable at -1<k<4 (b) For two imaginary roots 1( ); 4 5 4 4 = + k k = Value of complex roots s i s = ± 5 + 5 = 0 2 1 4 6 4 5 4 5 2 4 3 2 2 s + s + s + s + s + s + s +


4 2 s + 0 + s 0 5 5 5 5 4 0 4 4 5 2 2 3 3 2 + + + + + s s s s s s SOLUTION: i i s = − ± − ± = − ± − = 2 2 4 2 2 4 16 20 PART 2 LIST OF USEFUL BOOKS FOR PROCESS CONTROL 1. PROCESS CONTROL BY R.P VYAS, CENTRAL TECHNO PUBLICATIONS, INDIA ( WIDE VARIETY OF SOLVED PROBLEMS ARE AVAILABLE IN THIS BOOK) 2. ADVANCED CONTROL ENGINEERING BY RONALD.S .BURNS , BUTTERWORTH AND HIENEMANN. 3. PROCESS MODELLING SIMULATION AND CONTROL FOR CHEMICAL ENGINEERS, WILLIAM.L.LUYBEN, MCGRAW HILL. 4. A MATHEMATICAL INTRODUCTION TO CONTROL THEORY BY SCHOLOMO ENGELBERG, IMPERIAL COLLEGE PRESS


LIST OF USEFUL WEBSITES www.msubbu.com FOR BLOCK DIAGRAM REDUCTION AND OTHER CHEMICAL ENGG. LEARNING RESOURCES Readings,Recitations,Assignments,Exams,StudyMateri als,Discussion Group,Video Lectures now study whatever u want with respect to chemical engg. http://ocw.mit.edu/OcwWeb/index.htm ***********************


Click to View FlipBook Version