This paper introduces the application of an optimization technique, known as Particle Swarm Optimization (PSO) algorithm to the problem of tuning the Proportional-Integral-Derivative (PID) controller for a linearized ball and beam control system. After describing the basic principles of the Particle Swarm Optimization, the proposed method concentrates on finding the optimal solution of PID controller in the cascade control loop of the Ball and Beam Control System. Ball and Beam control system tends to balance a ball on a particular position on the beam as defined by the user. The efficiency of Particle Swarm Optimization algorithm for tuning the controller will be compared with a classical method, Trial and Error method. The comparison is based on the time response performance. The two tuning methods have been developed by simulation study using Matlab\ m-file software. The evaluations show that Evolutionary method Particle Swarm Optimization (PSO) algorithm gives a much better response than trial and error method.
<span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">The recent </span><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">developments</span><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> in high power rated Voltage Source Converters (VSCs) and the control strategies have resulted in their successful application in HVDC transmission systems, which have become an attractive option for renewable energy applications or for distribution power in large metropolitan areas. A 153<sup>th</sup> order multiple-input multiple-output (MIMO) small-signal model of DC network model based on VSC-HVDC system and controls is developed in state-space form within MATLAB. The optimum values of the controller gains are selected by analyzing the root locus of the analytical model. The developed small-signal detailed models are linearized and implemented in MATLAB. The validity and accuracy of the proposed models are verified against nonlinear PSCAD/ EMTDC and a summary of the model structure and controls is presented in detailed. Confirmation of the effectiveness of optimization gains is done by simulating the modelled system in MATLAB and PSCAD software. There simulation results performed with very good matching is confirmed in the time domain. It is the most detailed model currently available.</span>
Suspension systems play a vital role in providing comfortable and safe vehicle ride. This paper aims to improve the passenger ride comfort, vehicle stability, safety, road holding in an active quarter tractor model. the main objective is to obtain a stable, robust, and controlled system. It is necessary to use controller to increase the stability and performance of the system. the controller selection and design aimed to achieve good passenger ride comfort and health, stability, and passenger body acceleration and displacement response under uneven road excitations. PID and LQR controllers are developed, and compare their performances against the road disturbances. The performance of the designed controllers evaluated using simulation work in MATLAB. Simulation results show that the proposed LQR control scheme can successfully achieve the desired ride comfort and passenger safety compared to PID control scheme
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