Model development and controller design for DC–DC Boost converters in BCM with parallel cellular architecture

2021 ◽  
Vol 190 ◽  
pp. 38-56
Author(s):  
Alexandre Borges Marcelo ◽  
Flávio Alessandro Serrão Gonçalves ◽  
Fernando Pinhabel Marafão
Keyword(s):  
Controller Design ◽  
Model Development ◽  
Boost Converters ◽  
Cellular Architecture

scholarly journals Development of Fuzzy Based Autoregressive Moving Average Exogenous Input Model for Water Flow in Nigerian Kanji Hydro-Power Dam

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
D. O Araromi
Keyword(s):  
Controller Design ◽  
Moving Average ◽  
Model Development ◽  
Autoregressive Moving Average ◽  
Hydro Power ◽  
Model Driven ◽  
Robust Control System ◽  
Input Variables ◽  
Water Outflow ◽  
Safety Operation

Design of robust control system for any system requires model-driven approach. Therefore, it becomes imperative to develop a dynamic model suitable for controller design on safety operation of hydropower dam for power production in Kanji dam in Nigeria. Model for reservoir flow was developed in MATLAB environment using Fuzzy Based Autoregressive Moving Average Exogenous Input (FARMAX) model structure in this study. The data used for model development covered a period of ten years (2003-2013). It consists of water inflow (WI), water outflow (WO) and spillage (S). WI and S are input variables while WO was the output variable. The model obtained using the unsmoothed data with an outlier gave -14.115%, -0.302 and 610.317 for fit, R2 and RMSE, respectively. Unsmoothed data with no outlier gave -13.802%, -0.295 and 608.643 corresponding to fit, R2 and RMSE, respectively. The model obtained using the smoothed data in the presence of an outlier gave 80.533%, 0.962 and 104.113 for fit, R2 and RMSE, respectively. Smoothed data in the absence of outlier gave 81.533%, 0.962 and 99.637 for to fit, R2 and RMSE, respectively. FARMAX has the best fit value of 87.8774% when number of rules was equal to 3 with optima model order of 3 1 4 3. The model can serve as a decision support system in evaluating the optimal reservoir operation policies in real time.

Model development and boundary interaction force control of a piezoresistive-based microcantilever

Robotica ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 328-346 ◽  
Author(s):  
Sohrab Eslami ◽  
Nader Jalili
Keyword(s):  
Controller Design ◽  
Model Development ◽  
Control Unit ◽  
Force Sensor ◽  
Interaction Force ◽  
Robot Arm ◽  
Precision Manufacturing ◽  
Boundary Interaction ◽  
Sensing Applications ◽  
Robust Adaptive

SUMMARYRobots with micro- and nanoresolution of motion are becoming more practical and useful in many precision manufacturing processes and industries such as medical instruments and imaging tools. Apparently, the most important features of these devices are their precision and durability. As accuracy increases, more delicate tasks may be performed. Along this line, a spatial micromanipulator with three revolute–revolute–prismatic joints while equipped with nanometer motion resolution is considered here. At the end of the micromanipulator, a piezoresistive-based microcantilever operates as a force sensor to quantify the amount of the strain generated in the microcantilever and transduces it into a proper voltage for force sensing applications. In terms of the controller design, the value of the produced voltage can further be implemented as the feedback entering into the control loop and making the control unit to produce appropriate signals for manipulating the robot arm. A challenging and important problem is the need to control the applied boundary forces at the contact zone with external objects (specifically the biological samples). The ability to control the interaction force is of most interest today which has numerous applications in precision manufacturing and biomedical engineering. For this purpose, two types of controllers are presented here: a Lyapunov-based proportional-derivative (PD) controller and a robust adaptive (RA) controller. The performance and the stability of these two controllers are examined and discussed thoroughly in this paper so that it can be interpreted that the robust adaptive controller is robust under presence of uncertainties in force tracking control purposes.

Lovastatin biosynthesis depends on the carbon-nitrogen proportion: Model development and controller design

2014 ◽  
Vol 14 (2) ◽  
pp. 201-210 ◽  
Author(s):  
James Gomes ◽  
Juhi Pahwa ◽  
Sanjay Kumar ◽  
Bhaskar Sen Gupta
Keyword(s):  
Controller Design ◽  
Model Development

scholarly journals Vibration Modelling and Control Experiments for a Thin-Walled Cylindrical Rotor with Piezo Patch Actuation and Sensing

2020 ◽  
Vol 24 (6) ◽  
pp. 127-137
Author(s):  
Ziv Brand ◽  
Matthew Owen Col Thomas ◽  
Wichaphon Fakkaew ◽  
Chakkapong Chamroon
Keyword(s):  
Shell Theory ◽  
Vibration Suppression ◽  
Controller Design ◽  
Model Development ◽  
Theory Model ◽  
Mode Shapes ◽  
Design And Optimization ◽  
Design Procedures ◽  
Thin Walled ◽  
And Control

This paper describes a dynamic model formulation and control experiments concerning the vibration behaviour of a thin-walled cylindrical rotor with internal piezoelectric patch transducers. Model development, validation and controller design procedures were undertaken for an experimental rotordynamic system comprising a tubular steel rotor (length 0.8 m, diameter 0.166 m and wall-thickness 3.06 mm) supported by two radial active magnetic bearings. Analytical solutions for mode shapes and natural frequencies for free vibration were first derived using a shell theory model, and these used to construct a speed-dependent parametric model for the rotor structure, including piezo patch actuators and sensors. The results confirm that the developed shell theory model can accurately capture the rotating frame dynamics and accounts correctly for frequency splitting from Coriolis effects. The model is also shown to be suitable for active controller design and optimization. Model-based H2 feedback control using the rotor-mounted actuators and sensors is shown to achieve vibration suppression of targeted flexural modes, both with and without rotation.

scholarly journals A Linear Parameter Varying Control Approach for DC/DC Converters in All-Electric Boats

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Soroush Azizi ◽  
Mohammad Hassan Asemani ◽  
Navid Vafamand ◽  
Saleh Mobayen ◽  
Mohammad Hassan Khooban
Keyword(s):  
Smart Grids ◽  
Control Method ◽  
Controller Design ◽  
Design Procedure ◽  
Energy Resources ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Boost Converters ◽  
Control Approach ◽  
Parameter Varying

Utilization of renewable energies in association with energy storage is increased in different applications such as electrical vehicles (EVs), electric boats (EBs), and smart grids. A robust controller strategy plays a significant role to optimally utilize the energy resources available in a power system. In this paper, a suitable controller for the energy resources of an EB which consists of a 5 kW solar power plant, 5 kW fuel cell, and 2 kW battery package is designed based on the linear parameter varying (LPV) controller design approach. Initially, all component dynamics are augmented, and by exploiting the sector-nonlinearity approach, the LPV representation is derived. Then, the LPV control method determines the suitable gains of the states’ feedbacks to provide the required pulse commands of the boost converters of the energy resources to regulate the DC-link voltage and supply the power of EB loads. Comparing with the state-of-the-art nonlinear control methods, the developed control approach assures the stability of the overall system, as it considers all component dynamics in the design procedure. The real-time simulation results demonstrate the performance of the designed controller in the creation of a constant DC-link voltage.

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