Control of adiabatic continuous stirred tank reactor at an unstable operating point


Altuntas S., Hapoglu H.

BULGARIAN CHEMICAL COMMUNICATIONS, cilt.48, ss.14-19, 2016 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 48
  • Basım Tarihi: 2016
  • Dergi Adı: BULGARIAN CHEMICAL COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.14-19
  • Anahtar Kelimeler: Experimental Self-tuning PID application, pH control, kefir yeast, cheese whey, TUNING PID CONTROL, POLYMERIZATION REACTOR, BEHAVIOR, DESIGN
  • Ankara Üniversitesi Adresli: Evet

Özet

This paper describes application of temperature control to an unstable reactor. A non-adiabatic continuous stirred tank reactor simulation program was run in Matlab at a predetermined unstable operating point to attain closed loop performances. Jacket temperature was chosen as a manipulated variable. The simulated program having mass and energy balances for reactor inlet and cooling system was used to apply proportional control and to design the tuning parameters of conventional and advance control systems. A sinusoidal set point chance for a small time interval was introduced to the simulated process, the reactor temperature oscillation with a constant amplitude was monitored for proportional only control. The numerical value of the proportional controller coefficient that produces oscillatory system response was varied to rich the well-suited ultimate reactor temperature changes versus time. Ziegler-Nichols and Tyreus-Luyben evaluation technique was utilized to evaluate Proportional Integral Derivative controller parameters. Whilst retaining the computational simplicity of Matlab and the conventional control parameter evaluation techniques, the proposed method was made temperature response to follow an unstable operation set-point successfully. It is significant to note that integral action in the controller provides saddle point steady-state following without offset even if the values of the parameters of the system or of the controller change. Self-tuning Proportional Integral Derivative controller tuning parameters were also evaluated by using the proportional, integral and derivative constants and the second order parametric system model. The success of the various control actions were compared by using two performance criterions.