15 articles for “PID Controllers”

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Research ArticleOpen accessIn the abstractAccurate Wavelet Neural Network for Efficient Controlling of an Active Magnetic Bearing SystemYoussef Harkouss, Souhad Mcheik, Roger AchkarProblem statement: The synthesis of a command by the neural network has an excellent advantage over the classical one such as PID. This study presented a fast and accurate Wavelet Neural Network (WNN) approach for efficient controlling of an Active Magnetic Bearing (AMB) system. Approach: The proposed approach combined neural network with the wavelet theory. Wavelet theory may be exploited … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 15,569 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo SystemPornjit Pratumsuwan, Siripun Thongchai, Surapun TansriwongProblem statement: While classical PID controllers are sensitive to variations in the system parameters, Fuzzy controllers do not need precise information about the system variables in order to be effective. However, PID controllers are better able to control and minimize the steady state error of the system. To enhance the controller performance, hybridization of these two controller structures comes to … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 10,516 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Self-Tuning Proportional-Integral-Derivative Controller for an Autonomous Underwater Vehicle, Based On Taguchi MethodM. Santhakumar, T. AsokanProblem statement: Conventional Proportional-Integral-Derivative (PID) controllers exhibit moderately good performance once the PID gains are properly tuned. However, when the dynamic characteristics of the system are time dependent or the operating conditions of the system vary, it is necessary to retune the gains to obtain desired performance. This situation has renewed the interest of researchers and practitioners in PID control. … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,855 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproved Coupled Tank Liquid Levels System Based on Swarm Adaptive Tuning of Hybrid Proportional-Integral Neural Network ControllerM.S. Ramli, RM.T. Raja Ismail, M.A. Ahmad et al.Problem statement: Accuracy and stability of many systems in chemical and process industries which has Two-Input Two-Output (TITO) is one of the key factors of process which have cross coupling between process input and output. Approach: Unlike traditional neural network weight adaptation using gradient descent method, Particles Swarm Optimization (PSO) technique was utilized for adaptive tuning of neural network weights … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,822 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordIMPLEMENTATION OF AUTONOMOUS NAVIGATION ALGORITHMS ON TWO-WHEELED GROUND MOBILE ROBOTStephen Armah, Sun Yi, Taher Abu-LebdehThis study presents an effective navigation architecture that combines ’go-to-goal’, ’avoid-obstacle’ and ’follow-wall’ controllers into a full navigation system. A MATLAB robot simulator is used to implement this navigation control algorithm. The robot in the simulator moves to a goal in the presence of convex and non-convex obstacles. Experiments are carried out using a ground mobile robot, Dr Robot X80SV, … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 7 Apr 2014 · 9,431 accessesView PDF Cite