研究目的
To enhance the piezoelectric energy harvesting system converter (PEHSC) by developing a new lightning search algorithm (LSA) for optimizing the proportional-integral voltage controller (PIVC) parameters (Kp and Ki), eliminating the time-consuming trial-and-error process, and improving system performance in terms of rising and settling times.
研究成果
The proposed LSA-based PI voltage controller effectively optimizes the Kp and Ki parameters, reducing output error and improving the performance of the PEHSC in terms of rising time, settling time, and stability. Hardware validation confirms the simulation results, achieving a regulated output of 7 V DC from low AC inputs. The LSA method outperforms PSO and BSA, demonstrating its robustness and efficiency for piezoelectric energy harvesting applications.
研究不足
The study is limited to low-power piezoelectric energy harvesting systems with specific input voltage ranges (150-250 mV AC at 30 Hz). The optimization algorithms (LSA, PSO, BSA) may have constraints in handling highly nonlinear systems or larger-scale applications. Hardware implementation relies on specific components like the dSPACE DS1104, which may not be universally accessible.
1：Experimental Design and Method Selection:
The study uses a closed-loop control system with a PI voltage controller optimized by the Lightning Search Algorithm (LSA) to improve the performance of a piezoelectric energy harvesting system converter (PEHSC). The methodology involves simulation in MATLAB/Simulink and hardware implementation using a dSPACE DS1104 controller board.
2：Sample Selection and Data Sources:
A piezoelectric bending generator (PBG) is used as the vibration source, with input voltages ranging from 150 mV to 250 mV AC at 30 Hz. Data is collected from simulations and experimental setups.
3：List of Experimental Equipment and Materials:
Equipment includes a dSPACE DS1104 controller board, piezoelectric vibration sensor, rectifier, low pass filter, boost converter, MOSFET, diodes, inductors, capacitors, resistors, vibration shaker, amplifier module, and personal computer with MATLAB software.
4：Experimental Procedures and Operational Workflow:
The process involves: a) Developing the PEHSC model in MATLAB/Simulink. b) Applying LSA to optimize Kp and Ki parameters for the PI controller. c) Generating PWM signals via the dSPACE controller to control the MOSFET switch in the boost converter. d) Conducting simulations and hardware experiments to measure output voltage, rising time, settling time, and efficiency. e) Comparing results with PSO and BSA optimization methods.
5：Data Analysis Methods:
Data is analyzed using mean absolute error (MAE) as the objective function, with comparisons of rising time, settling time, and output voltage stability. Statistical methods include calculation of MAE, root mean square error (RMSE), and standard deviation (SD).
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