Control and Nonlinear Dynamics on Energy Conversion Systems
- MDPI - Multidisciplinary Digital Publishing Institute 2019
- 1 electronic resource (438 p.)
Open Access
The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.
multi-clearance neural network zero average dynamics Cable3D variable bus voltage MG explosion-magnetic generator quadratic boost matrix norm coordinated control system permanent magnet synchronous motor (PMSM) photovoltaic (PV) power conversion capacitance current pulse train control air gap eccentricity high step-up voltage gain voltage ripple offset-free goal representation heuristic dynamic programming (GrHDP) current mode control sliding mode observer (SMO) multi-model predictive control combined heat and power unit discontinuous conduction mode (DCM) current-pulse formation sliding mode control single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) subharmonic oscillations DC micro grid supply air temperature air-handling unit (AHU) vibration characteristics magnetic saturation slope compensation fixed-point inducting control the load of suspension point in the z direction variable switching frequency DC-DC converters droop control Helmholtz number plasma accelerator contraction analysis sliding control bifurcations in control parameter disturbance observer DC motor multiphysics virtual impedance pulverizing system ultrahigh voltage conversion ratio corrugated pipe DC-DC converters maximum power point tracking (MPPT) dynamic model nonlinear dynamics new step-up converter micro-grid global stability extended back electromotive force (EEMF) small-signal model electromagnetic vibration nonlinear dynamic model excited modes data-driven rigid body rotation position sensorless prediction centralized vs. decentralized control inferential control boost-flyback converter calculation method switched reluctance generator monodromy matrix bridgeless converter decoupling control distributed architecture wave buck converter soft sensor model–plant mismatches whistling noise efficiency optimization steel catenary riser moving horizon estimation single artificial neuron (SAN) space mechanism two-stage bypass electrical machine harmonic suppression local vs. global optimization performance recovery reinforcement learning (RL) adaptive dynamic programming (ADP) overvoltage planetary gears maximum power point tracking DC-DC buck converter power quality average-current mode control feedback coefficient power factor correction (PFC) capacitance current predictive control rotor dynamics