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Open loop and closed loop speed contrast of a DC motor using the Arduino microcontroller and Labview.

Introduction:

The aim of this assignment is to investigate open loop and closed loop speed control of a small DC motor. For this course sis lab sessions of two hours are available. Throughout these sessions we will be using the motor rig, built by you, the Arduino Nano microcontroller and Labview.  The assessment will be a report based on the data and knowledge that you acquire over this period. Remember, the lab session are not a race to finish first, take your time to understand the system and make sure you take notes and save your results as you go.

The length of the final report should be no more than 7 sides of A4 and should include the following sections: Abstract, introduction, theory, result conclusion and references. The report should be formatted as a technical paper an example of which is on the course Moodle along with a template for the paper.

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Understanding of open loop control systems and how to extract the transfer function of a system by experimentation.
Answer: An open-loop control system operates independently of its output, lacking a feedback mechanism to adjust its input. This makes it less precise than closed-loop systems, which utilize feedback to correct errors. Extracting a system's transfer function experimentally involves applying a known input signal, measuring the resulting output, and analyzing their relationship in the frequency domain using techniques like Fourier Transform or Laplace Transform. This process helps identify the system's dynamic response characteristics and aids in designing controllers for desired performance.

Understand the limitations of open loop control systems through investigation and reference to the course notes.
Answer: Open-loop control systems suffer from several limitations. Firstly, they lack a feedback mechanism, making them susceptible to external disturbances and inaccuracies in system components. This can lead to significant deviations between the desired and actual output. Secondly, they are unable to adapt to changing conditions or compensate for errors, resulting in reduced precision and reliability. Additionally, open-loop systems are often less stable than closed-loop systems, as they can exhibit oscillatory behavior or even instability under certain conditions. These limitations restrict their applicability to systems with relatively simple dynamics and low precision requirements.

Understand the benefits of using closed loop control.
Answer: Closed-loop control systems offer several advantages over open-loop systems. They are more accurate and precise due to their ability to continuously monitor and adjust the output based on feedback from the system. This feedback mechanism allows them to compensate for disturbances and uncertainties, resulting in improved performance and stability. Additionally, closed-loop systems can adapt to changing conditions, making them more flexible and versatile. They are also less susceptible to noise and other external factors, ensuring reliable operation.

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Understand the limitations of closed loop control.
Answer: While closed-loop control systems offer numerous benefits, they also have certain limitations. One major drawback is the potential for instability, which can occur if the feedback gain is too high or if the system dynamics are not well understood. This can lead to oscillations or even runaway behavior. Additionally, closed-loop systems can be more complex and expensive to implement, as they require additional sensors and controllers. Furthermore, they may be susceptible to sensor noise and measurement errors, which can degrade performance.

Understand how to optimize the response of the system using PID control.
Answer: PID control is a widely used control technique that involves adjusting three parameters: proportional (P), integral (I), and derivative (D). The proportional term responds to the current error, the integral term considers past errors, and the derivative term anticipates future errors. By carefully tuning these parameters, the system's response can be optimized. A high P gain can lead to quick response but may cause overshoot and instability. A high I gain can eliminate steady-state error but may slow down the response. A high D gain can improve stability and reduce overshoot but may amplify noise. By balancing these parameters, it is possible to achieve a desired response, such as minimizing overshoot, settling time, and steady-state error.

Understand what each component of the PID controller contributes to the response of the system.
Answer: Each component of a PID controller plays a specific role in the system's response. The proportional term reacts to the current error, providing a quick response but often leaving a steady-state error. The integral term accumulates past errors, eliminating steady-state error but potentially causing overshoot. The derivative term anticipates future errors, improving stability and reducing overshoot, but can amplify noise. By carefully tuning these components, the PID controller can achieve a balance between responsiveness, stability, and accuracy, leading to optimal system performance.

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Learning Outcomes:

• Understanding of open loop control systems and how to extract the transfer function of a system by experimentation.
• Understand the limitations of open loop control systems through investigation and reference to the course notes.
• Understand the benefits of using closed loop control.
• Understand the limitations of closed loop control.
• Understand how to optimize the response of the system using PID control.
• Understand what each component of the PID controller contributes to the response of the system.
• Be able to tune the PID controller using Nichols Ziegler tuning methods.
• Be able to relate the theory to the practice by investigation (steady state error, disturbance rejection etc).
• Be able to use simulation tools in order to simulate the response of the system and design off-line control strategic.
• Have a working knowledge of Labview and the Arduino programming environment.

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