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

In the paper the role of anti-aliasing filters is investigated based on control quality assessment of optimal PID controllers when using a Butterworth antialiasing filter prior to sampling versus sampling without any analog filter. Numerical results show that contrary to common belief possible benefits gained from anti-aliasing devices are very restricted.

Impact of anti-aliasing filters on optimal sampled-data PID control

A sampled-data controller which simultaneously tracks a pre-programmed set-point profile and minimizes the influence of stochastic disturbance for a linear continuous-time process is synthesized based on the model-reference concept and linear quadratic Gaussian (LQG) problem formulation.

Sampled-data program control via model-reference LQG

A quasi-continuous-time approach to the design of a digital PID control for DC/AC inverters with LC filter that use semiconductor switches producing PWM output voltage is presented. It is shown that an appropriately chosen continuous-time model of the digital controller with the PWM converter behaves like the actual discrete-time system, which allows for a simple controller design. SIMULINK models are used to validate this approach for a nonlinear rectifier load. The outcomes are compared with a real inverter experiment.

Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - A Case Study

In the paper the role of anti-aliasing filters is revised based on control quality assessment of PID controllers when using average sampling versus instantaneous sampling without any analog filter. Numerical results show that contrary to common belief possible benefits gained from anti-aliasing devices are very restricted.

Are anti-aliasing filters necessary for PID sampled-data control?

An intuitive and simple yet efficient novel approach to the PID control system synthesis for load disturbance rejection in a cascaded tanks system is presented. It is assumed that the controller is fitted with a first order noise filter. The design method consists in choosing appropriate values of filter and controller parameters such that a time-scale separation takes place between control signal and output dynamics while keeping the noise amplification gain at a reasonable value. As a result, low measurement noise results in very high performance of load disturbance rejection. Moreover, the solution shows high degree of robustness against changes of the working point. Simple formulas providing analytical solutions for extrema of time responses are derived that allow to design control system with predefined characteristics.

Rafal Grygiel

Papers

Impact of anti-aliasing filters on optimal sampled-data PID control

Sampled-data program control via model-reference LQG

Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - A Case Study

Are anti-aliasing filters necessary for PID sampled-data control?

PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation