This work presents the application of an event-based model predictive control algorithm to regulate the pH in a microalgae production process. The control aim is to maintain the pH within specific limits and to minimize CO2 losses. The control scheme is based on a Generalized Predictive Control (GPC) algorithm with sensor deadband approach. In this algorithm, the controller execution frequency ...

Develops a technique for improving the applicability of complete, nonorthogonal, multiresolution transforms to image coding. As is well known, the L(2) norm of the quantization errors is not preserved by nonorthogonal transforms, so the L(2) reconstruction error may be unacceptably large. However, given the quantizers and synthesis filters, the authors show that this artifact can be eliminated ...

This paper proposes a maiden intelligent controller design that consists of Fuzzy Proportional–Integral–Derivative–Double Derivative (FPIDD2) whose parameters are fine-tuned using the Gradient-Based Optimization algorithm (GBO). The proposed FPIDD2 regulator is employed as secondary for stabilizing combined voltage and frequency loops in two-area interconnected power system. It has been shown G...

Generally, most of the setups plasma jet adopted rare gases (e.g., helium and argon) as working gas. The drawback using is that it cannot be continuously used gas tank volume limited, cost to yield also higher. Thus, a solely air could potentially promising solution. In this study, low-temperature only was developed. device optimized by adjusting control circuit (deadband, current, voltage duty...

Lower cost, higher control performance and significantly less energy consumption are the goals for the design of any industrial systems including electro-hydraulics. The paper presents an integrated mechatronic design approach – seamless integration of advanced control techniques with novel hardware reconfiguration/re-design – as one of the tools to achieve these lofty goals simultaneously. The...

Smart inverters are studied in both the dynamic/transient and steady state in a simulation environment. Using EPRI OpenDSS, five real California feeders are simulated over a 95 day period while the PV penetration and smart inverter fraction are varied. From the simulations, it is shown that smart inverters operating under different Volt/VAr based control schemes improve feeder conditions. The i...

This thesis presents the design, analysis, and validation of a hierarchical transactive control system that engages demand response resources to enhance the integration of renewable electricity generation resources. This control system joins energy, capacity and regulation markets together in a unified homeostatic and economically efficient electricity operation that increases total surplus whi...

Thermostatically controlled loads (TCLs) account for more than one-third of the U.S. electricity consumption. Various techniques have been used to model TCL populations. A high-fidelity analytical model of heterogeneous TCL (HrTCL) populations is of special interest for both utility managers and customers (that facilitates the aggregate synthesis of power control in power networks). We present ...

Hybrid fast charging stations with battery storage and local renewable generation can facilitate low-carbon electric vehicle (EV) charging, while reducing the stress on distribution grid. This paper proposes an energy management system (EMS) for a novel multi-battery design that directly connects its strings to other DC components through busbar matrix without need interfacing power converters....