توصيفگر ها :
شكل دهي انرژي , كنترل مبتني بر انفعال , تعيين اتصال و ميرايي , كنترل كننده پمپ - ميرايي , بهينه سازي دسته ذرات , هوش مصنوعي , محسبات تكاملي
چكيده انگليسي :
The Design of Pumping Damping Controller by Using of Particle Swarm Optimization Faridodin Baharvandi f baharvandi@ec iut ac ir Date of Submission Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Supervisor F Sheikholeslam sheikh@cc iut ac ir Advisor Y Zakeri Zakeri@cc iut ac ir Degree M Sc Language FarsiAbstract Energy is a fundamental quantity in nature and is conserved due to the first law of thermodynamics Actuators necessarily add energy into the system or remove energy from the system Sensors remove energy from the system in order to measure some variable of interest All control algorithms employing feedback must measure at least one physical variable of the system to be controlled Furthermore all control algorithms must have at least one actuator in order to control the system Hence by proxy all control algorithms affect the energy of the system Two key ideas in energy shaping are Energy Balancing and Power Shaping Other control algorithms can be classed under these two ideas In this report the idea that aims at optimizing the energy based controllers is proposed In energy shaping controllers instead of signal processing viewpoint the dynamics systems is interpreted as energy transformation devices Puming damping controller is one of the enrgy shaping controllers where the purpose of designing this types of controller is movement from one equilibrium to another one Optimization is a mathematical technique that concerns the finding of maxima or minima of functions in some feasible region There is no business or industry which is not involved in solving optimization problems A variety of optimization techniques compete for the best solution Particle Swarm Optimization PSO is a relatively new modern and powerful method of optimization that has been empirically to perform well on many of these optimization problems This thesis aims of this algorithm to find best solution in full search space In this thesis an idea to optimum the energy based controller is proposed In this report it is proposed that aims to optimize the energy based controller with a simple objective function This method deal to fastest response desired convergence properties and reduced the Oscillations of system Keywords energy shaping passivity based control interconnection and damping assignment Pumping Damping controller Particle Swarm Optimization artificial intelligence evolutionary Computational
