The new feed-water controller is designed by using a rule-based hierarchical fuzzy logic control algorithm and is implemented by using the modern field programmable gate array (FPGA) technology.
This paper presents a new feed-water controller under the automatic power regulating system (APR) for an advanced boiling water reactor (ABWR).
The FPGA-based feed-water controller is integrated into the LMNPP's full-scope simulator with APR system for validation and performance evaluation.
The HPLC system was equipped with a Waters 600 Controller, Waters Delta 600 pump, and a Shimadzu SPD-M10A VP Diode Array Detector and connected to a Waters Fraction Collector (Waters Co., Milford, MA, USA).
The peptide was purified by semipreparative RP-HPLC [Waters 2487 Dual Absorbance Detector equipped with a Waters 2700 Sample Manager, a Waters 600 Controller, a Waters Fraction Collector, a Symmetry column (C18, 5 μm, 30 × 100 mm2), and Millennium software].
HPLC separation was performed on an instrument with a Waters 600 controller, a Waters 600 pump, and a Waters 2487 dual λ absorbance detector (detecting wavelength: 230 nm) on a Grace (250 mm×10 mm, i.d).
HPLC separation was performed on an instrument consisting of a Waters 600 controller, a Waters 600 pump, and a Waters 2487 dual λ absorbance detector (Waters Corporation, Milford, USA), with an Prevail (250 mm×10 mm i.d).
In order to control position and maintain bilateral balance in deep water, a controller is designed with a Sprott system-based self-synchronization error formulation and a bisection approach algorithm to enhance the performances of brushless dc motors.
The purpose of this paper is to design, analyze and evaluate a water level controller for U-tube steam generators using dynamic sliding mode control.
A water level controller using the robust polynomial H″ optimization method by manipulating pump speed is obtained.
The purpose of this paper is to design, analyze and evaluate a water level controller for U-tube steam generators using neural networks.
