Abstract
The kernel chip of wind pendulum control system is 32-bit STM32F407 micro control unit (MCU). MPU6050 gyroscope is utilized to detect the motion state of the pendulum rod in real time. After collecting and analyzing the motion data, pulse width modulation (PWM) is applied to four axial flow fans. The system can implement the functions of swing-up, stop-swing, drawing a line segment of specified length or deflection angle and drawing a circle of specified radius by laser pointer fixed on the wind pendulum. The design involves many mathematical and control methods, such as PWM control, PID algorithm and power series correction. As a result of the design and manufacture of hardware and the programming and debugging of software, many groups of test data indicate that the system has satisfied functionality and accuracy. Moreover, the system can realize its functions in the case of overcoming interference. The deviation is within the allowable range, which illustrates the robustness is satisfactory.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cheng H, Xiao J, Long Y et al (2016) Wind pendulum modeling based-on improved PID algorithm. In: Proceedings of the 2016 IEEE 11th conference on industrial electronics and applications, pp 2288–2293
Long Y, Xiao J, Zhang T et al (2016) Modeling and control for swing and anti-swing of a wind pendulum. In: Proceedings of the 2016 IEEE 11th conference on industrial electronics and applications, pp 1978–1983
Qu Z, Xu K, He X et al (2018) Design of wind pendulum control system based on improved genetic PID algorithm. In: 2018 International conference on advanced electronic materials, computers and materials engineering, pp 1–7
Duke SF, Doerr TP, Yu YK (2018) Improving series convergence: the simple pendulum and beyond. Eur J Phys 39(6):1–8
Belendez A, Arribas E, Marquez A et al (2011) Approximate expressions for the period of a simple pendulum using a Taylor series expansion. Eur J Phys 32(5):1303–1310
Baker GL, Blackburn JA (2005) The pendulum: a case study in physics. Oxford University Press, Oxford
Bambill HR, Benito MR, Garda GR (2004) Investigation of conservation laws using a conical pendulum. Eur J Phys 25(1):31–35
Winterflood J, Blair DG (1996) A long-period conical pendulum for vibration isolation. Phys Lett Sect A Gen At Solid State Phys 222(3):141–147
Zhang J, Guo L, Wei SM et al (2016) Study of Kalman filtering algorithm and fuzzy PID controller for the Coriolis acceleration tester. In: 35th Chinese control conference, pp 3782–3786
Liu WH, Dai JX (2015) Design of attitude sensor acquisition system based on STM32. In: Fifth international conference on instrumentation and measurement, computer, communication and control, pp 1850–1853
Meza JL, Santibanez V, Soto R et al (2012) Fuzzy self-tuning PID semiglobal regulator for robot manipulators. IEEE Trans Industr Electron 59(6):2709–2717
Farahani M, Ganjefar S, Alizadeh M (2012) PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control. IET Control Theory Appl 6(13):1984–1992
Tang KS, Man KF, Chen G et al (2001) An optimal fuzzy PID controller. IEEE Trans Industr Electron 48(4):757–765
Crovetti PS (2017) All-digital high resolution D/A conversion by dyadic digital pulse modulation. IEEE Trans Circ Syst I Regul Pap 64(3):573–584
Caporale S, Pareschi F, Cambareri V et al (2015) A soft-defined pulse width modulation approach—part II: system modeling. IEEE Trans Circ Syst I Regul Pap 62(9):2290–2300
Tan SC, Lai YM, Tse CK (2005) Implementation of pulse-width-modulation based sliding mode controller for boost converters. IEEE Power Electron Lett 3(4):130–135
Acknowledgements
This work was supported by the self-made experimental teaching instrument and equipment project fund of Nankai University, and Electronic Information Laboratorial Teaching Center.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, H. et al. (2020). Design of Wind Pendulum Control System Based on STM32F407. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_122
Download citation
DOI: https://doi.org/10.1007/978-981-13-9409-6_122
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9408-9
Online ISBN: 978-981-13-9409-6
eBook Packages: EngineeringEngineering (R0)