Balance-based adaptive control of a neutralisation process

Local balance-based adaptive control in the heat distribution system – Practical validation

“…It is important to note that in the case of the B-BAC methodology the desired set-point value of a controlled variable is always reached without any integral action due to the compensating properties of the estimation procedure. The preliminary stage of the theoretical considerations for this methodology has been successfully completed and the details have been reported [10,11]. The control performance of the B-BAC methodology has been validated by simulation in the application to different processes, including the heat exchange and distribution processes [7,9,12] and the nonisothermal chemical reactor with the cooling jacket [8,11].…”

“…In this paper, the Balance-Based Adaptive Control (B-BAC) methodology from Czeczot [7] is suggested for the local control in the laboratory heat distribution system. This methodology is based on the linearising approach but its superiority results from the unified but still very general balance-based form of the simplified model of a process with the only one unknown parameter representing unrecognizable balance terms and modelling inaccuracies.…”

pH TİTRASYON EĞRİLERİNE DURUM-UZAYI YAKLAŞIMI

“…Çalışmalarında adaptif doğrusal olmayan denetimin adaptif olmayan ve doğrusal olmayan denetime ve orantı-integral (PI) denetime göre daha etkin olduğunu göstermişlerdir. Adaptif denetleyicilerin günümüzde de farklı alternatifleri ile pH kontrolünde kullanıldığı [5]'ten de görülebilir. Örnek çalışmada denge tabanlı adaptif denetleyici ile istenilen tahmin ve sıfır hata sonuçlarına ulaşılmıştır.…”

“…Bahsi geçen kimyasal reaksiyonlar ve diğerleri giriş değişkenleri ve çıkış değişkenleri arasında kurulacak olan modellemeleri beklemektedirler. Örnek modelleme pH nötralizasyon sürecine yönelik olarak geliştirilen Wiener modelidir [5][6][7][8].…”

A metamorphic controller for plant control system design

“…For these reasons, the most common industrial controller is the PID (proportional-integral-derivative) controller or its simplified form (the PI controller) without the derivative action (Li et al, 2006b;Macha, 2008, 2015;Yu, 2006). In the case of more advanced control algorithms such as Fuzzy Logic Control (Budzan and Wyzgolik, 2014), B-BAC (Balance-Based Adaptive Control) (Czeczot, 2006) or a class of predictive controllers (e.g., DMC Dynamic Matrix Control or PFC Predictive Functional Control) (Laszczyk, 2001;Laszczyk et al, 2013), it is possible to achieve higher quality of control than in the case of using the classical PID controller. In other words, the formulated control objectives can be achieved at lower costs and in less time.…”