Wind energy conversion systems (WECS) often face challenges due to the stochastic and intermittent nature of wind, leading to a mismatch between output power generation and fluctuating electrical load requirements. To...
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Wind energy conversion systems (WECS) often face challenges due to the stochastic and intermittent nature of wind, leading to a mismatch between output power generation and fluctuating electrical load requirements. To effectively address this issue, an advanced Maximum Power Point Tracking (MPPT) strategy is crucial for maximizing power extraction. This study introduces a novel MPPT approach based on Fast Smooth Second-Order Sliding Mode control (FSSOSMC) to optimize power output from a 3 kW fixed-pitch variable speed WECS coupled with a permanent magnet synchronous generator (PMSG). To ensure robustness despite uncertain, nonlinear system parameters, an offline neuro-fuzzy algorithm utilizing the Takagi–Sugeno–Kang (TSK) fuzzy inference system is implemented. This method accurately estimates the nonlinear and uncertain components of the control input, enhancing the performance and robustness of the MPPT control techniques. Additionally, a Variable-Gain Robust Exact Output Differentiator (VG-REOD) is employed to accurately estimate the shaft speed, addressing issues related to speed estimation and missing derivative information. The proposed FSSOSMC-based MPPT strategy was benchmarked against super-twisting sliding mode control (STSMC) and feedback linearization control (FBLC) MPPT strategies under stochastic wind speed profiles, parameter variations, and wind speed fluctuations. The results show that the proposed method achieves a tracking accuracy of 98.2% and an overall efficiency of 98.9%, significantly outperforming STSMC (97.1% accuracy, 95.75% efficiency) and FBLC (95.4% accuracy, 93.82% efficiency). The FSSOSMC method also reduced the settling time to 7.879 s and the rise time to 1.062 s, with minimal overshoot of 10.022% and a steady-state error of 0.0015088. These results demonstrate superior tracking performance, high precision, rapid dynamic response, minimal chattering, and robust global performance. The efficacy of the proposed method is validated thro
Understanding driving pressure is of general interest in lung mechanics, especially in ventilated neonatal and pediatric patients. The aim of this study was to investigate the effects of endotracheal tube size (ETT) a...
Understanding driving pressure is of general interest in lung mechanics, especially in ventilated neonatal and pediatric patients. The aim of this study was to investigate the effects of endotracheal tube size (ETT) and bi-directional linear flow resistors mimicking different degrees of tube and airway obstruction on tracheal pressure (Ptr) during ventilation with decelerating flow. A mechanical lung simulator with unchanged respiratory mechanics like the mimicked compliance and resistance, three ETTs (inner diameters of 7.5 mm, 5.5 mm, and 3.5 mm), and four different linear flow resistors were alternatively connected to a commercial ventilator operating in pressure-controlled mode. Four resistors mimicking various degrees of ETT obstructions were placed consecutively between the Y-piece and the ETT. Varying sequentially ETT size, resistance, and ventilator settings resulted in 90 sets of measurements. Data acquisition, signal processing, and data analysis were performed using Python. The results clarify that decreasing ETT sizes and increasing flow resistances cause an increase in the time necessary to reach zero-flow conditions both during in- and expiration. This results in a decrease of Ptr at the end of inspiration and an increase of Ptr at the end of expiration, if inspiratory and expiratory times remain unchanged. The degree to which peak inspiratory pressure overestimates Ptr (or plateau pressure) in decelerating flow can be substantial and increases with increasing flow resistance. This highlights the importance of measuring plateau pressure or Ptr to understand pressure dynamics delivered to the lung.
This paper considers the difficulties which arise from an attempt to analyse fuzzy systems. Previous work in this area is briefly reviewed and a new way of describing closed-loop fuzzy systems is introduced. Using onl...
This paper considers the difficulties which arise from an attempt to analyse fuzzy systems. Previous work in this area is briefly reviewed and a new way of describing closed-loop fuzzy systems is introduced. Using only finite discrete fuzzy relations, it is possible to define such concepts as state equivalence, stability and controllability, and, by restricting attention to a special class of systems, a simple control problem can be solved. The basic ideas discussed in the paper are, perhaps, the first steps towards a practical theory of fuzzy systems.
The nonstandard H(infinity) ''two-disk'' optimization problem [GRAPHICS] for a plant P0 and weights WV in H(infinity) plays a basic role in robust feedback analysis. Here, its solutions are characteriz...
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The nonstandard H(infinity) ''two-disk'' optimization problem [GRAPHICS] for a plant P0 and weights WV in H(infinity) plays a basic role in robust feedback analysis. Here, its solutions are characterized using Banach space duality theory, and shown to satisfy a flatness or ''allpass'' condition. A related numerical solution method is outlined. For a limiting case of sharp cutoff filters, an explicit 'two arc' result is obtained for the optimal robust disturbance problem.
The Ramadge-Wonham framework for control of discrete event systems is augmented with timing features by use of Ostroff's semantics for timed transition models. It is shown that the RW concept of controllability an...
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The Ramadge-Wonham framework for control of discrete event systems is augmented with timing features by use of Ostroff's semantics for timed transition models. It is shown that the RW concept of controllability and the existence of maximally permissive supervisory controls can be suitably generalized. The enhanced setting admits subsystem composition and the concept of forcible event as an event that preempts the tick of a global dock. An example of a simple manufacturing cell illustrates how the new framework can be used to solve synthesis problems which may include logic-based, temporal and quantitative optimality specifications.
Hierarchical structure in the supervisory control of discrete-event systems is formalized in the automaton framework of P.J. Ramadge and W.M. Wonham (SIAM J. Cont. Optimiz., vol.25, no.1, p.206-30, 1987). The setup em...
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Hierarchical structure in the supervisory control of discrete-event systems is formalized in the automaton framework of P.J. Ramadge and W.M. Wonham (SIAM J. Cont. Optimiz., vol.25, no.1, p.206-30, 1987). The setup embodies a low-level real-world model controlled by an operator and a high-level abstract model virtually controlled by a manager. The two levels are connected by command and information channels. Concepts of hierarchical consistency are proposed, relating high-level behavior required by the manager to low-level behavior achievable by the operator. It is shown that consistency can be realized by appropriately refining the information sent up by the operator to the manager.< >
The purpose of this paper is to indicate how characteristic gain loci(or generalized Nyquist diagrams) can be used to count the number of characteristic frequencies (or closed-loop poles) which occur in a given area o...
The purpose of this paper is to indicate how characteristic gain loci(or generalized Nyquist diagrams) can be used to count the number of characteristic frequencies (or closed-loop poles) which occur in a given area of the frequency plane for any given feedback gain. The relationship between the gain loci and the characteristic frequency loci is shown to hold for a wide range of linear systems, both sampled and continuous, including those with time delays. The relationship between the frequency loci and the inverse gain loci (or inverse Nyquist diagrams) is also deduced. These results are then used to show how for many systems the frequency loci can be used to determine the only possible ranges of feedback gain to obtain a stable closed-loop system. It is also indicated why in many real systems the closed-loop system should be stable at all but the edges of these possible ranges of feedback gain. The approach used avoids the complex integration which is usually used to justify the Nyquist diagrams (Bode 1945). One example demonstrating the superiority of state-space models over rational polynomial Laplace transfer-function models in the determination of the stability of multivariable systems is given. Some examples of gain loci, inverse gain loci, frequency loci and inverse frequency loci for systems with and without time delays are included.
An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the s...
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An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the system. Given the trajectory of the end-effector of the manipulator, near-optimal trajectories for the mobile platform and manipulator joints are obtained by using an efficient genetic algorithm with torque and manipulability optimisation and obstacle avoidance. Various simulations of a platform with a 3-link onboard manipulator are presented to show the effectiveness of the presented method.
This note presents a state-space algorithm for the calculation of a normalized coprime factorization of continuous-time generalized dynamical systems. It will be shown that two Riccati equations have to be solved to o...
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This note presents a state-space algorithm for the calculation of a normalized coprime factorization of continuous-time generalized dynamical systems. It will be shown that two Riccati equations have to be solved to obtain this normalized coprime factorization.
Mangrove ecosystems, a type of blue carbon ecosystems (BCEs), are vital to the global carbon cycle. However, the combined effects of microplastics (MPs) and plastic additives on carbon sequestration (CS) in mangroves ...
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