Hale Hapoglu
Ankara University
70 Papers
567 Citations
Hale Hapoglu is an academic researcher from Ankara University. The author has contributed to research in topics: Temperature control & Model predictive control. The author has an hindex of 15, co-authored 70 publications.
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Papers
Self-tuning PID control of jacketed batch polystyrene reactor using genetic algorithm
Ayla Altinten,Fazıl Ketevanlioğlu,Fazıl Ketevanlioğlu,Sebahat Erdoğan,Hale Hapoglu,Mustafa Alpbaz +5 more
TL;DR: In this article, a self-tuning PID controller with GA was applied to the temperature control of a jacketed batch polymerization reactor and thus tracking performance of optimal temperature profile was investigated.
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Generalized predictive control of optimal temperature profiles in a polystyrene polymerization reactor
TL;DR: In this paper, generalized predictive control (GPC) was applied to the temperature of a free radical solution polymerization of styrene in a jacketed batch reactor and the optimal temperature policies were obtained at different initiator concentrations by applying the optimal control theory to the relevant polymerization reactor.
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Effect of process control on optimization of pulp and paper mill wastewater treatment by electrocoagulation
TL;DR: In this paper, the effect of electrical conductivity, pH, temperature, current intensity and electrolysis time on chemical oxygen demand, color, turbidity and total suspended solids removal and energy consumption was determined.
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Control of a polymerization reactor by fuzzy control method with genetic algorithm
TL;DR: It was seen that GA is able to tune the fuzzy controller efficiently for different situations and therefore to control the temperature of the polymerization reactor.
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Nonlinear control of polymerization reactor
TL;DR: In this article, nonlinear model based control was applied to the free radical solution polymerization of styrene in a jacketed batch reactor and its performance was examined to reach the required monomer conversion and molecular weight Optimal temperature profiles for the properties of polymer quality were evaluated using the Hamiltonian optimization method.
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