Industry 5.0 aims to prioritize human operators, focusing on their well-being and capabilities, while promoting collaboration between humans robots enhance efficiency productivity. The integration of collaborative must ensure the health operators. Indeed, this paper addresses need for a human-centered framework proposing preference-based optimization algorithm in human–robot (HRC) scenario with an ergonomics assessment improve working conditions. HRC application consists optimizing robot...

Industry 5.0 aims to prioritize the needs and capabilities of human operators design implement production environments that support their role. Indeed, this paper addresses need for a human-centered framework proposing preference-based optimization algorithm in human-robot collaboration (HRC) scenario with an ergonomics assessment improve working conditions. The HRC application consists optimizing collaborative robot end-effector pose during object-handling task. approach utilizes Active...

The present paper addresses the problem of estimation day-ahead generated power (GP) a photovoltaic plant using predicted regional solar radiation (SR). contribution is twofold. First, it investigates problems related to design SR predictors and then studies their combination with prediction data obtained from meteorological service. Different setups time series model, weather forecast service combinations ensemble methods have been employed. Secondly, under similar framework, impact...

The present paper addresses the problem of control power flows in a microgrid endowed with wind electrical energy generation and storage. contribution is twofold: it first investigates problems related to design short-medium term predictors, intended for applications dispatching electricity problems. Then, such predictors are used development system, based on Model Predictive Control (MPC), containing flexible load, storage, farm, point common coupling national grid. In particular, provides...

This paper presents a Model Predictive Control scheme combined with rotor flux oriented vector control designed for an autonomous squirrel-cage induction generator driven by variable speed wind turbine in standalone system. The is excited using PWM inverter/rectifier connected to single capacitor on the DC side. model here adopted allows saturation effect be taken into account represented means of inductance, but this linear MPC investigated, different sampling time respect plant. In...

Standard control design for robot implicit force is a typical example of model-based regulator synthesis. This paper proposes method to improve closed-loop performance standard controllers in terms model matching, between desired and achieved behaviour. To this end, data-driven controller method, based on the Virtual Reference Feedback Tuning (VRFT) approach, introduced. Advantages robustness with respect unknown environment stiffness are discussed demonstrated. The effectiveness proposed...

Estimation of the generated power renewable energy resources is in general important for planning operations as well demand balance and quality. This paper addresses problem estimation short-term (3-hour ahead) medium-term (1-day a photovoltaic plant. Firstly, design day-ahead solar radiation predictors investigated with different setups time series models, their combinations weather forecast services using ensemble methods. Support Vector Machine methods are also adopted this stage, to...

Black-box optimization refers to the problem whose objective function and/or constraint sets are either unknown, inaccessible, or non-existent. In many applications, especially with involvement of humans, only way access is through performing physical experiments available outcomes being preference one candidate respect others. Accordingly, algorithm so-called Active Preference Learning has been developed exploit this specific information in constructing a surrogate based on standard radial...

The growing production capacity from renewable energy sources requires a rethinking of the role users and electric utilities. In this direction, in Italy, authority recently envisaged opening dispatching market to plants small users. present work describes main technical characteristics first results Smart City Vizze project, field experimentation carried out on real medium voltage network Italian Autonomous Province Bolzano. project aims develop an innovative monitoring control...

This paper addresses the problem of sharing a private Electrical energy Storage System (ESS) for thermoelectrical management in group buildings. Each building is equipped with an ESS which can be used partly or completely by other buildings same group. strategy creates coupling constraints among controllers each individual building. In this context, increment proximal minimization method has been employed to manage flows various ESS's through distributed approach. The local controller...

The present paper addresses the problem of designing a control scheme for induction generator working as variable speed stand-alone generating system. excitation is achieved by means PWM inverter/rectifier connected to single capacitor on DC side. objective keep voltage at rectifier output constant and equal reference value regardless changes in rotor speed. To achieve this, an MPC proposed investigated. effectiveness developed evaluated though comparison with fuzzy PID controller previously...

This paper presents a model predictive control approach for the economic optimization of microgrid including smart buildings, wind power production facilities and an energy storage unit.Various scenarios are considered in comprehensive unified framework, which can be adapted to pursue different objectives at same time, such as ensuring electricity supply maximizing profit from trading market, or managing storage.The problem addressed framework using receding horizon approach, ultimately...

To allow wheelchair (electronic or manual) users to practice driving in different safe, repeatable and controlled scenarios, the use of simulator as a training tool is considered here. In this context, capabilities providing high fidelity motions for highlighted one most important aspects effectiveness tool. For purpose, motion cueing algorithm (MCA) studied our work regenerate cues by transforming real simulated into motion. The developed based on Model Predictive Control (MPC) approach...

This paper addresses the problem of thermal energy efficiency in domestic buildings. As opposed to classic optimal approach, a sensitivity analysis and comparison have been performed evaluate both comfort consumption different heating scheduling, corresponding user-oriented scenarios, which allows derive basic operating rules. Also continuous discontinuous strategies are compared. The various scenarios evaluated for building properties climatic conditions, under mixed PID hysteresis control...

Estimation of the generated power renewable energy resources is in general important for planning operations as well demand balance and quality. This paper addresses problem estimation short-term (3-hour ahead) medium-term (1-day a photovoltaic plant. Firstly, design day-ahead solar radiation predictors investigated with different setups time series models, their combinations weather forecast services using ensemble methods. Support Vector Machine methods are also adopted this stage, to...