Introduction Energy Factor (EF) and Sub-Sequential Parameters Basic Mathematics of Digital Control Systems Mathematical Modeling of Digital Power Electronisc Digitally Controlled AC/DC Rectifiers Digitally Controlled DC/AC Inverters Digitally Controlled DC/DC Converters Digitally Controlled AC/AC Converters Open-Loop Control for Digital Power Electronics Closed-Loop Control for Digital Power Electronisc Energy Factor Application in AC and DC Motor Drives Applications in Other Branches of Power Electronics

Digital Power Electronics and Applications

40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges

Attitude estimation is one of the core frame- works used for navigating an unmanned aerial vehicle from one place to the other. This paper presents an Euler-based non-linear complementary filter (CF) whose gain parameters are obtained using particle swarm optimization (PSO) technique. It relieves the user from feeding the KP and KI parameters manually and adjust these parameters automatically when the error between the attitude measured from accelerometer and the CF increases above a particular threshold. The measurement unit for this research consists of micro-electro-mechanical-systems (MEMS) based low cost tri-axial rate gyros, accelerometers and magnetometers, without resorting to global positioning system (GPS) data. The efficiency of the CF is experimentally investigated with the help of reference attitude and the raw sensor data obtained from commercial inertial measurement unit (IMU). Simulation results based on the test data show that the proposed PSO aided non-linear complementary filter (PNCF) can automatically obtain the required gain parameters and exhibits promising performance for attitude estimation.

PSO Aided Adaptive Complementary Filter for Attitude Estimation

In the paper the design of an aircraft motion controller based on the Dynamic Contraction Method is presented The control task is formulated as a tracking problem for Euler angles, where the desired decoupled output transients are accomplished under assumption of high-level, high-frequency sensor noise and incomplete information about varying parameters of the system and external disturbances The resulting controller has a simple form of a combination of a low-order linear dynamical system and a matrix whose entries depend nonlinearly on certain measurable flight variables

Robust Quasi NID Aircraft 3D Flight Control Under Sensor Noise

This paper presents a passivity-based control (PBC) design methodology for three-phase voltage source inverters (VSI) for uninterruptable power supply (UPS) systems where reduced harmonic distortions for the nonlinear load, reduced output voltage overshoot, and a restricted settling time are required. The output filter design and modification for efficient control and existing challenges with the assignment of scaling coefficients of the output voltage, load, and inductor currents are addressed and analyzed. Notably, special attention is given to the modulator saturation issue through implementing an accurate converter model. Applications of the two versions of PBC in three-phase voltage source inverters using stationary αβ and rotating dq frames for a constant frequency of the output voltage are presented. Furthermore, the influence of the PBC parameters on the power converter performance is investigated. A comparative simulation and the experimental results validate the effectiveness of the presented passivity-based control design methodology.

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Passivity-Based Control Design Methodology for UPS Systems

The paper considers benefits of appropriate preprocessing of sampled noisy process output prior to down-sampling necessary when the sensor's A/D converter sampling frequency is much higher than the band allowed by an industrial network that connects controller with distant sensor and actuator Two methods of preprocessing are considered and compared: moving averaging and Kalman filtering of the sampled sensor readings

Signal preprocessing and downsampling for optimal disturbance attenuation in networked control systems

A detailed analysis of level control in a coupled tanks system is performed with respect to load disturbance attenuation. A nonlinear model of the system based on certain normalized variables that bases on only one parameter is constructed and linearized. A strong dependence of system properties on that parameter is highlighted. A simple method of choosing controller type and its settings is proposed that bases on time scale separation. PI control of the first tank, and PI and/or PID control of the second tank as well as cascade P/PI control system are analyzed. Invariance of the well designed control systems with respect to changes of the working point is highlighted.

High Performance Control of a Coupled Tanks System as an Example for Control Teaching

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Rafal Grygiel

Papers

Signal preprocessing and downsampling for optimal disturbance attenuation in networked control systems

High Performance Control of a Coupled Tanks System as an Example for Control Teaching

Sampled-Data PID Control and Anti-aliasing Filters