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The questions of training simulators development technique for oil and gas industry automation control systems are considered. The possibility of using this technique for control systems based on mathematical and algorithmic control models is introduced. A mathematical model is used. The training simulator operating result is the process studying, learning management skills, adjusting parameters to...
In this paper we present a new approach to closed-loop control design which provides generation of regular or chaotic oscillations in a dynamic systems. Proposed approach is based on idea of introduction of desired attractor (boundary circle or strange attractor) in closed-loop system state space. The practical usage of this approach for the problem of nonlinear oscillations generation in DC electromechanical...
This paper describes Network Enabled Capability (NEC) within Command & Control (C2) systems. In the first part we present the need to transform military operations of Industrial Age to Information Age military operations and the related NCW (Network Centric Warfare). In the next part of the paper we discuss OODA (Observe, Orient, Decide, Act) Loop as a means of optimizing NEC within Command &...
The paper presents a control system for biotechnological processes, using an image processing-based biomass concentration transducer. The advantages of using such transducers are the low price and the response time, which is faster than any off-line measuring method. These advantages do not exclude the accuracy of the measurement. The chosen case study is a yeast growth process, a typical biotechnological...
This paper examines the accuracy of the zero-order hold (ZOH) model of the digital pulsewidth modulator (DPWM). The influence of the computational delay on the precision of this equivalent DPWM model is discussed in detail. A compensation method is proposed to compensate the deviation of this DPWM model for accurately calculating the stability region with different computational delay and duty-cycle...
Large-scale penetration of power electronic based systems demands the need for sophisticated control algorithms. Conventional current control techniques may not give the required dynamic performance for modern power electronic systems. This paper designs an online supplementary adaptive dynamic programming (ADP) controller based on neural networks which improves the dynamic performance of a conventional...
In this paper, a wireless modular control strategy for input-series output-parallel (ISOP) inverter system is proposed to ensure equal sharing of input voltage and output current among the constituent inverters. Compared with existing control strategies for the ISOP inverter system, such as centralized control which restricts the modularity of the system and distributed control which realizes voltage...
While many advantages can be offered by DC-based integrated power system, it is a challenging task to continuously maintain optimal performance with a dynamic load profile. Coordination between the real-time controllers and system optimizer is not a trivial task in such conditions. Some of the protection schemes provide fault detection and isolation functions, but do not consider system level optimization...
This paper presents an isolated DB LLC resonant converter with frequency adaptive phase-shift modulation control which overcomes the unity gain problem of conventional DB converter. The proposed control maintains the Zero Voltage Switching (ZVS) to all switches under all operating voltage and load variations. The control proposed for this circuit based on two control variables: switching frequency...
This paper introduces a closed-loop control architecture for an impedance control network (ICN) resonant dc-dc converter that regulates the converter's output voltage while achieving soft-switching across wide operating ranges. This architecture is based on enhanced phase-shift control of the ICN converter, in which the inverter and rectifier phase-shifts are simultaneously controlled to regulate...
In this paper we present modifications in the sphere decoder initially introduced in [1] and modified in [2] that allow for its implementation in transient operation. By investigating the geometry of the integer problem underlying direct model predictive control (MPC), a new sphere that guarantees feasibility and includes a significant smaller number of candidate solutions is computed. In a first...
This paper presents a novel hybrid adaptive droop controller to simultaneously regulate both the AC-side and DC-side parameters for power electronic converters in single-phase Microgrids. The main contribution of this paper is to integrate the AC-side and DC-side controllers. Unlike previously presented control schemes, where the DC-bus is considered as an infinite bus or constant voltage bus, the...
Hybrid power systems can find wide applications in hybrid electric vehicles, more-electric aircraft, electric ships, and microgrids, where power converters are important in controlling the instantaneous power flow. Model predictive control (MPC) provides promising benefits over traditional controllers such as PIDs to dramatically improve dynamic control performances of those nonlinear multi-input,...
This paper presents a new control strategy for Modular Multilevel Matrix converters where the output frequency is higher then the input frequency. In operating points when ωout ≥ ωin the energy pulsation in the converter cells are dominated by the second harmonic of the input frequency. These energy pulsations can be identified and compensated by inducing additional currents. The results are verified...
This paper presents an approximate-model-based predictive current control (AMPCC) method for current regulation of buck converter, when it operates in continuous-conduction mode (CCM). In addition, the inductor current constraints are incorporated to further reduce the output voltage ripple. The output current of the buck converter is directly manipulated by the proposed AMPCC controller without PWM...
In this paper, a state-of-the-art controller architecture for controlling modular multi-level converter (MMC) family is proposed. By using this controller architecture, single point of failure in the power converter, controller board or the communication network does not interrupt the functionality of the system. In order to achieve that, a two-dimensional array of controllers are formed to handle...
Harmonic resonance issues have been attracted more and more attention due to a large number of power electronic inverters being used in power systems. In this paper, in order to have a deep insight into resonances, the singular value sensitivities with respect to component parameters of the network and the control parameters of inverters are used for harmonic resonance analysis based on Singular Value...
The control of unmanned combat system of systems (SoS) needs fusion centralized control, cluster distribution control and platform autonomous control, because of its distributed, networked and unmanned characteristics. Based on the hierarchical idea and the OODA control loop, this paper proposes a cognitive based multi-level command and control (C2) architecture about unmanned combat SoS (CB-MLC2A),...
We explore the problem of synergetic control law design for a group of mobile robots. To solve this problem we present the new approach to control of a group of mobile robot based on principals and methods of synergetic control theory. The design of group control synergistic transport robots is considered with the analysis of mathematic model and with specified aim. In the theory of synergetic control...
This paper presents a method to improve the conservative (shape-independent) controllers from guaranteed-cost LMIs using Q-learning policy iteration setups which learn optimal controllers from data. In this context, the proposed approach uses an initial parametrization based on the LMI solution and the learning process includes parameters related to the nonlinearity of the system (and its gradient)...
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