This paper presents a switching control method that can be actuated by a supervisory controller, with emphasis on smooth transitions between various open and closed loop controllers in real time. Through conversion of...
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ISBN:
(纸本)9781479967353
This paper presents a switching control method that can be actuated by a supervisory controller, with emphasis on smooth transitions between various open and closed loop controllers in real time. Through conversion of commands into non-periodic voltage values in the synchronous qd0 reference frame, hand-off transient reduction is achieved by controlling the rate of change of stator voltage commands during changeover. Through this method, smooth switched supervisory control can be achieved without synchronization or phase coordination between different commands from different controllers. Controllers are selected based on available sensor feedback. A system containing three controllers is simulated and tested with simulated sensor loss. Results of the proposed smooth switching controller compared to abrupt switching between control commands are compared. The proposed scheme is shown to reduce current and torque transients and maintain smooth operation of the drive. Given that multiple controllers and the switching logic are computationally intensive from an embedded system perspective, the proposed method is verified to operate in a processor-in-the-loop (PIL) environment on a Texas Instruments C2000 microcontroller.
Implementation of advanced control algorithms can result in improved drive performance, reliability and efficiency, but may increase embedded system hardware requirements. Through use of tunable automated optimization...
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This paper presents a nonlinear model predictive control. Within this proposal, the issue of choosing the horizon of prediction and control is described. The choice of objective function and the choice of equality and...
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This paper presents a nonlinear model predictive control. Within this proposal, the issue of choosing the horizon of prediction and control is described. The choice of objective function and the choice of equality and inequality constraints are also discussed. As part of the solution of the presented optimal control problem, we use the direct transcription method, which allows the introduction of constraints for individual states already at the level of constraints for the design variable and thus greatly simplifies implementation. The implementation on a single board computer is presented. The sources used are chosen with the aim of subsequent application of the entire solution within industrial practice. The functionality of the concept is demonstrated and verified using a processor in the loop simulation. The final discussion outlines other possible modifications to enable the use of the MPC concept in industry, on systems that require medium-small sampling periods.
This paper presents guidelines to develop the Maximum Power Point Tracking controller, as developed in the automotive and aeronautical applications, this by following the V-cycle development process, which means that ...
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This paper presents guidelines to develop the Maximum Power Point Tracking controller, as developed in the automotive and aeronautical applications, this by following the V-cycle development process, which means that our controller will be validated by using Model In the loop/ Software In the loop/processor in the loop tests. In order to have the possibility of integrating the MPPT embedded software in automotive and aeronautical areas, and on the other hand to propose a low-cost option to test the hardware implementation of the MPPT algorithm. Therefore, a modified variable step Incremental Conductance algorithm is proposed in this study, which can reduce the steady-state oscillations and increase the tracking speed under sudden irradiance variation. Then, the Model-based design of the modified algorithm is developed and connected to the plant model (photovoltaic panel and Boost converter). Next, the system model is tested and validated by using Model In the loop process. After that, the software of this algorithm is automatically generated for the host computer using embedded coder tool, and this software is connected to the plant model and tested using Software in the loop process in the host computer. Finally, the software is generated from the MPPT model for the STM32F4 discovery board in order to create the processor in the loop block, which will be run in the STM32F4 discovery board, and the plant model will be simulated in the host computer, and the ST-LINK communication is used in order to connect the host computer and the embedded board.
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