Continuous and Discrete-Time PID Control of DC Motor Position – Assignment Example

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The paper “ Continuous and Discrete-Time PID Control of DC Motor Position”   is an exciting version of the assignment on physics. Digital control applications are highly applied and used in modern applications, which is mainly related to the easy control the individual has on the applications and performance attainable. For instance, industries today have many digitized applications mainly the usage of computers, whose power and size vary in different ways. The digital application is been used in modern applications highly because it improves and increases measurement sensitivity, which is reflected in the efficiency of workloads in a company.

That is; digital power in modern applications has increased the load of work that can be done in a day while relying on the digital power for success (Ming, 2011). Digital power in modern applications helps significantly in controlling tasks to ensure they perform the results desired. For instance, when used in closed-loop systems, they improve the performance of the system. Digital systems provide hybrid systems, ensuring the output tasks among others are controlled through continuous and discrete-time parts. Thus, digital control is used in modern applications to provide satisfactory emulation designs.

The systems are more beneficial since they ease the operations of the business while reducing the expenses of labor. At the same time, they increase reliability through the improved performance of the digitized control systems. 1b. The linear control based PID control strengths includes the ease of implementation. That is; the PID controllers can undertake a dominant role in ensuring the industrial applications that often demand transparent and simple procedures. They can be tuned easily in using a small form of information.

The robustness, simplicity of the system are key benefits including the controller gains of the system related to the parameters used (Krakow, 2006). Limitations include mainly the poor stability of the controllers. That is; if the parameters are chosen incorrectly, the output is also unstable. The PID controller also has a poor limited performance. The performance is influenced by factors such as the noise, disturbances of the system, and other problems. It operates on an error signal basis. The performance is variable mainly because the systems are linear. The noise changes the output quantity received thus affects the performance of the system. 1c.

The wood-chip level control system can use the PI controller successfully. The system does not apply a constant speed level, the PI control in the system is used to ensure the chip level of the tank is equal to the measured and actual level of the system. The PI controller changes the input to the proportional plus the integral error signal. Proportional integral PI control systems use the PI to control the simple analytical tuning of the fluid system (Ming, 2011). The analytical tuning determines the PI coefficient through the physical properties of the motion and fluid system.

It is based on observations since it uses numerous coefficients obtained through trial and error tuning (Krakow, 2006). The PI controller increases the system order, where the Ki maintains the system stability. The input is reduced as the transient part is steadily controlled. However, the precision actuator using the PI controller does not attain the stabilization of the system. The air conditioner machines use the PID controllers through the automatic control of the temperature of the room.

The system presents an open-loop system control where the feedback gain loop. Thus, the output and input relationship in a linear time-invariant system to allow the perfect transfer function of the system. Thus, the system provides a proportional compensation through the gain attained that is proportional to the possible error that occurs through the input and output systems. The derivative compensation through the system will be a unitary feedback system that introduces the error signal through the gain. The integral compensation also introduces the integral error signal.    

References

Archana, J., Suganthini, P. & Malathi, C., 2014. DC Motor Speed Control Using Matlab. International Journal of Scientific Research Engineering & Technology, 2(12), pp. 832-834.

Chamanirad, M., 2009. Design and Implementation of Controller for Robotic Manipulators using Artificial Neural Networks. Malardalens Hogskola, pp. 1-32.

Johan, K., 2002. PID Control. Control System Design, pp. 1-36.

Krakow, I. K., 2006. System-Specific PI Control Theory for Fluid and Motion Systems. New York: Universal Publishers.

Ming, M., 2011. Communication Systems and Information Technology: Selected Papers from the 2011 International Conference on Electric and Electronics. New York: Springer Science & Business Media.

Samson, A., 2010. Controllers and Controlled Systems. Technical Information, pp. 1-60.

Sinha, K. N., 2008. Control Systems. New York: New Age International.

Yamazaki, T., Yamakawa, Y., Kamimura, K. & Kurosu, S., 2011. World's Largest Science, Technology & Medicine Open Access Book Publisher. Advances in PID Control. National Institute for Environmental Studies, pp. 1-22.

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