The objective of the liquid blending system shown in Fig.1 is to make product which meets...
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The objective of the liquid blending system shown in Fig.1 is to make product which meets the sales specification on the concentration of one particular solute component (i.e., C₂(t)). We are interested in automatically controlling C₂(t) by manipulating qu(t), the flowrate of stream B. The scheme is based on an automatic measurement sensor for C2(t). The measured concentration is transmitted as a pneumatic signal which is used to actuate the automatic control valve on stream B. If say the instrument air supply fails, or the pneumatic line to the valve is severed, then the automatic control valve will fail closed. This functionality is all indicated, using standard instrumentation symbols in Fig. 1. Co zry C₁ Fig.1 Liquid blending system C₂ The control scheme proposed has the potential to reject offsets on C2(t) of disturbances (i.e., large load charges) in the solute concentrations of all three feed streams in addition to those in the feed flowrates qu(t) and q-(t). Assume q, C√H, and q2 =C2√H₂ Use the Matlab Simulink to perform the following: 1. Tuning of a suitable feedback PID controller using the Ziegler Nichols method. 2. The output response of the closed loop for a step change in the set point using the PID controller parameters determined in the previous step. 3. Design a feedforward-feedback control system based on measurement of disturbance Ce Data: The area of the tank 1 = area of the tank 2 = 0.10 m² The length of the tube connecting tank 1 and tank 2 is 10 m long and has a diameter of 0.1 m (assume the delay time is constant and equals to that at steady state) At steady state: ₁10 L sec¹,20 L sec¹, 10 L sec-¹ H, -1 m, H₂ = 1 m, C₁ = 1 kg m¹³, C₁ = 2 kg m¹³, C = 3 kg m¹³¹ Notes: 1. Each group should consist of two to three members 2. The details of your calculations should be explained in your report 3. The report should be submitted in a hardcopy prepared using MS word 4. The deadline for report submission is Tue, 10th Dec 2019 at 6 pm. The objective of the liquid blending system shown in Fig.1 is to make product which meets the sales specification on the concentration of one particular solute component (i.e., C₂(t)). We are interested in automatically controlling C₂(t) by manipulating qu(t), the flowrate of stream B. The scheme is based on an automatic measurement sensor for C2(t). The measured concentration is transmitted as a pneumatic signal which is used to actuate the automatic control valve on stream B. If say the instrument air supply fails, or the pneumatic line to the valve is severed, then the automatic control valve will fail closed. This functionality is all indicated, using standard instrumentation symbols in Fig. 1. Co zry C₁ Fig.1 Liquid blending system C₂ The control scheme proposed has the potential to reject offsets on C2(t) of disturbances (i.e., large load charges) in the solute concentrations of all three feed streams in addition to those in the feed flowrates qu(t) and q-(t). Assume q, C√H, and q2 =C2√H₂ Use the Matlab Simulink to perform the following: 1. Tuning of a suitable feedback PID controller using the Ziegler Nichols method. 2. The output response of the closed loop for a step change in the set point using the PID controller parameters determined in the previous step. 3. Design a feedforward-feedback control system based on measurement of disturbance Ce Data: The area of the tank 1 = area of the tank 2 = 0.10 m² The length of the tube connecting tank 1 and tank 2 is 10 m long and has a diameter of 0.1 m (assume the delay time is constant and equals to that at steady state) At steady state: ₁10 L sec¹,20 L sec¹, 10 L sec-¹ H, -1 m, H₂ = 1 m, C₁ = 1 kg m¹³, C₁ = 2 kg m¹³, C = 3 kg m¹³¹ Notes: 1. Each group should consist of two to three members 2. The details of your calculations should be explained in your report 3. The report should be submitted in a hardcopy prepared using MS word 4. The deadline for report submission is Tue, 10th Dec 2019 at 6 pm.
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Vector Mechanics for Engineers Statics and Dynamics
ISBN: 978-0073212227
8th Edition
Authors: Ferdinand Beer, E. Russell Johnston, Jr., Elliot Eisenberg, William Clausen, David Mazurek, Phillip Cornwell
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