Control Engineering - Revision history

Abuogoj at 22:36, 27 October 2015

2015-10-27T22:36:50Z

Abuogoj at 22:36, 27 October 2015

2015-10-27T22:36:08Z

Abuogoj at 22:26, 27 October 2015

2015-10-27T22:26:35Z

Cmaina at 20:17, 19 February 2015

2015-02-19T20:17:53Z

Cmaina: Created page with "'''Control Engineering''' '''''' Control Engineering is taught in the fourth and fifth year of the..."

2015-02-19T20:17:29Z

Created page with "'''Control Engineering''' '''''' Control Engineering is taught in the fourth and fifth year of the..."

New page

'''Control Engineering'''
''''''
Control Engineering is taught in the fourth and fifth year of the electrical engineering curriculum. In fourth year, the students mainly cover modelling, time domain and frequency domain analysis and stability analysis of linear control systems. In the fifth year of study, concepts like state space representation, digital control, proportional-integral-derivative (PID) controllers, nonlinear control systems and optimal control are covered. 

Currently, the laboratory exercises are mainly Matlab based. We seek to enhance the teaching of these units by developing a laboratory exercise based on the Raspberry Pi to be undertaken by the fifth year students. The lab will cover the areas of PID controllers, optimal control and digital control using a real  life example, water tank level monitoring and filling. The objective of optimal control theory is to determine the control signal that will optimize (maximize or minimize) some performance criterion while at the same time satisfying the physical constraints of the system. 

In this lab, the students will explore the optimal parameters for a PID controller designed to ensure the water level in a tank is maintained within an optimal range. The PID controller will be implemented in software and this will introduce the students to digital control concepts.

@@ Line 1: / Line 1: @@
-'''<span style="font-size:large">Control Engineering</span>'''
+'''<span style="font-size:large">Introduction</span>'''
 Control Engineering is taught in the fourth and fifth year of the electrical engineering curriculum. In fourth year, the students mainly cover modelling, time domain and frequency domain analysis and stability analysis of linear control systems. In the fifth year of study, concepts like state space representation, digital control, proportional-integral-derivative (PID) controllers, nonlinear control systems and optimal control are covered.&nbsp;
@@ Line 17: / Line 17: @@
 In this lab, we demonstrate the two types of control in filliwng a water tank. In the first instance, no sensor is used to measure the level of water in the tank and the control action is therefore open loop. In the second instance, we use a level sensor (E-tape level sensor) to measure the current water level and generate a control signal based on the level. In both cases, we use Pulse Width Modulation in opening and closing a valve that controls the flow of water into the tank. The results of the two controllers are compared, in terms of the level of water achieved in each case.
-The complete procedure of the lab is avalilable in [[Open_and_Closed_Loop_Control.pdf|Open and Closed Loop Control.pdf]]
+The complete procedure of the lab is avalilable in [[Open and Closed Loop Control.pdf|Open and Closed Loop Control.pdf]]
@@ Line 27: / Line 27: @@
 In this lab, we demonstrate the concept of optimal control in filling a water tank. We wish to fill the tank to a certain level within a given duration of time. We formulate an optimal control problem with the level of water as the performance criteria and time as the constraint. Closed loop control is used in this case, with the same approach in lab 1 being used. The ouput of the control algorthm is Pulse Width Modulated signals that open the valve so as to allow water into the tank at a rate that will ensure that we fill the tank within the set duration of time.
-The complete procedure of the lab is avalilable in [[Optimal_Control.pdf|Optimal Control.pdf]]
+The complete procedure of the lab is avalilable in [[Optimal Control.pdf|Optimal Control.pdf]]

@@ Line 3: / Line 3: @@
 Control Engineering is taught in the fourth and fifth year of the electrical engineering curriculum. In fourth year, the students mainly cover modelling, time domain and frequency domain analysis and stability analysis of linear control systems. In the fifth year of study, concepts like state space representation, digital control, proportional-integral-derivative (PID) controllers, nonlinear control systems and optimal control are covered.&nbsp;
 Currently, the laboratory exercises are mainly Matlab based. We seek to enhance the teaching of these units by developing a laboratory exercise based on the Raspberry Pi to be undertaken by the fifth year students. The lab will cover the areas of Open loop and closed loop control, optimal control and digital control using a real &nbsp;life example, water tank level monitoring and filling.
 The labs have been developed as follows
-<span style="font-size:larger"</span>
 <span style="font-size:larger">'''Open and Closed Loop Control'''</span>
@@ Line 15: / Line 15: @@
 In closed loop control, the control action is somehow dependent on the output of the system. There is a comparison of the state of the output and the reference state. This property is known as feedback and is the main diﬀerence between open loop and closed loop systems. Feedback is the property of the system which permits the output to be compared with the reference input so that appropriate control action is formed. Closed loop control systems are more accurate and reliable but may be complex in design and suffer from&nbsp; instability.
-In this lab, we demonstrate the two types of control in filliwng a water tank. In the first instance, no sensor is used to measure the level of water in the tank and the control action is therefore open loop. In the second instance, we use a level sensor (E-tape level sensor) to measure the current water level and generate a control signal based on the level. In both cases, we use Pulse Width Modulation in opening and closing a valve
+In this lab, we demonstrate the two types of control in filliwng a water tank. In the first instance, no sensor is used to measure the level of water in the tank and the control action is therefore open loop. In the second instance, we use a level sensor (E-tape level sensor) to measure the current water level and generate a control signal based on the level. In both cases, we use Pulse Width Modulation in opening and closing a valve that controls the flow of water into the tank. The results of the two controllers are compared, in terms of the level of water achieved in each case.
@@ Line 29: / Line 25: @@
 The objective of optimal control theory is to determine the control signal that will optimize (maximize or minimize) some performance criterion while at the same time satisfying the physical constraints of the system.&nbsp;
-In this lab, the students will explore the optimal parameters for a PID controller designed to ensure the water level in a tank is maintained within an optimal range. The PID controller will be implemented in software and this will introduce the students to digital control concepts.&nbsp;
+In this lab, we demonstrate the concept of optimal control in filling a water tank. We wish to fill the tank to a certain level within a given duration of time. We formulate an optimal control problem with the level of water as the performance criteria and time as the constraint. Closed loop control is used in this case, with the same approach in lab 1 being used. The ouput of the control algorthm is Pulse Width Modulated signals that open the valve so as to allow water into the tank at a rate that will ensure that we fill the tank within the set duration of time.

@@ Line 1: / Line 1: @@
-'''<span style="font-size:large;">Control Engineering</span>'''
+'''<span style="font-size:large">Control Engineering</span>'''
 Control Engineering is taught in the fourth and fifth year of the electrical engineering curriculum. In fourth year, the students mainly cover modelling, time domain and frequency domain analysis and stability analysis of linear control systems. In the fifth year of study, concepts like state space representation, digital control, proportional-integral-derivative (PID) controllers, nonlinear control systems and optimal control are covered.&nbsp;
-Currently, the laboratory exercises are mainly Matlab based. We seek to enhance the teaching of these units by developing a laboratory exercise based on the Raspberry Pi to be undertaken by the fifth year students. The lab will cover the areas of PID controllers, optimal control and digital control using a real &nbsp;life example, water tank level monitoring and filling. The objective of optimal control theory is to determine the control signal that will optimize (maximize or minimize) some performance criterion while at the same time satisfying the physical constraints of the system.&nbsp;
+Currently, the laboratory exercises are mainly Matlab based. We seek to enhance the teaching of these units by developing a laboratory exercise based on the Raspberry Pi to be undertaken by the fifth year students. The lab will cover the areas of Open loop and closed loop control, optimal control and digital control using a real &nbsp;life example, water tank level monitoring and filling.
 In this lab, the students will explore the optimal parameters for a PID controller designed to ensure the water level in a tank is maintained within an optimal range. The PID controller will be implemented in software and this will introduce the students to digital control concepts.&nbsp;

@@ Line 1: / Line 1: @@
 '''<span style="font-size:large;">Control Engineering</span>'''
-'''<span style="font-size:large;"></span>'''
 Control Engineering is taught in the fourth and fifth year of the electrical engineering curriculum. In fourth year, the students mainly cover modelling, time domain and frequency domain analysis and stability analysis of linear control systems. In the fifth year of study, concepts like state space representation, digital control, proportional-integral-derivative (PID) controllers, nonlinear control systems and optimal control are covered.&nbsp;