Informatics Publishing Limited

Muhammad Hamid ¹, Mohsin Jamil ¹, Syed Omer Gilani ¹, Shahid Ikramullah ¹, Muhammad Nasir Khan ¹, Mazhar Hussain Malik ¹, Ishtiaq Ahmad ¹

Affiliations
1 School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), H-12 Main Campus, Islamabad, PK

Abstract

Background/Objectives: Cranes are used to carry loads effectively. During movement, often undesired fluctuations of lifted payload occur, which needs to be controlled. Control is the basic requirement for desired operation of crane. Objective is to control the trolley position and swing angle of payload. Methods/Statistical Analysis: The continual flow requires an effective control methodology to achieve a high positioning control of the trolley carrying payload and suppression of swing angle of payload during operation. Optimal control techniques can be used to control these undesired vibrations. These techniques result in some undesired overshoot and undershoot causing the payload to swing prior to system getting stable. However if these techniques are combined with intelligent control techniques then a more stable system can be obtained. Findings: In this paper a hybrid controller called neuro-optimal controller has been used to control the swing angle of lifted payload by controlling the trolley position.The proposed technique of using a hybrid controller has stabilized the system by reducing the overshoot, undershoot and settling time. Application/Improvements: The proposed technique is very useful in many industrial applications. Experimental analysis can further provide the insight and limitations of the proposed techniques.

Keywords

Artificial Neural Network (ANN), Algebraic Riccati Equation (ARE), Back Propagation (BP), Linear Quadratic Regulator Controller (LQR), Neural Network Predictive Controller (NNPC), 3 Degree of Freedom (3DOF).

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Aazim Rasool ¹, Mohsin Jamil ¹, Haaris Rasool ¹, Mansoor Asif ¹, M. Numan ¹, Ishtiaq Ahmad ¹

Affiliations
1 National University of Sciences and Technology, Islamabad, PK

Abstract

Background/Objectives: The stability of High-Voltage Direct Current (HVDC) system is improved by optimization of system's control parameters. The simulation model of HVDC network is designed in Power Systems Computer Aided Design (PSCAD) and the Proportional Integral (PI) parameters optimization are achieved by using simplex algorithm. Simulation based evaluation of Integral Time Absolute Error-Objective function (ITAE-OF) is implemented in this paper. Methods/Statistical Analysis: Simulation calculation results are iterated to determine the new values of objective function. The model of three parallel HVDC lines connecting Power system of Central-East China is used as a test network. PI control parameters of San-Chang ±500KV HVDC system line are optimized. Findings: Optimized results have been achieved by evaluating ITAE-OF using transient simulation and converged via Simplex algorithm in PSCAD. The performance of system in steady state behavior as well as in fault condition is improved through optimized control parameters as compared to the initial control parameters, which are presented by plotting graphs. Application/Improvements: The derived equation can be further optimized using the hybrid system.

Keywords

HVDC, Optimization, Objective Function, PI Controller, Simplex Algorithm.

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