Pillay Nelendran (5 results)

Taschenbuch. Condition: Neu. Particle Swarm Optimization of PID Tuning Parameters | Optimal Tuning of Single-Input-Single-Output Control Loops | Nelendran Pillay (u. a.) | Taschenbuch | 196 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838341323 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. 196 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control pract.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch.…