Research of smart car’s speed control based on the internal model control. (English) Zbl 1406.93233

Yu, Han; Karimi, Hamid Reza; Zhu, Xuemei

Abstr. Appl. Anal. 2014, Article ID 274293, 5 p. (2014).

Summary: Based on analyzing principle about the smart car’s speed control system, the system mathematical model is built. Considering the control optimization, a novel control scheme is proposed based on internal model control, and the internal model controller of speed control system is established. Regarding this subject, the internal control theory is introduced to verify the control performance; the traditional PID control method is employed in the experiment. The experiment indicates that the proposed method based on internal model control is easier to determine parameter and has a well robust and good control result of smart car’s speed.

MSC:

93C95	Application models in control theory
93A30	Mathematical modelling of systems (MSC2010)

Keywords:

smart car’s speed control; internal model control

References:

[1]	Sommer, C.; German, R.; Dressler, F., Bidirectionally coupled network and road traffic simulation for improved IVC analysis, IEEE Transactions on Mobile Computing, 10, 1, 3-15 (2011)
[2]	Min, G.; Yagang, S., Traffic simulation and forecasting system in Beijing, Engineering Sciences, 8, 1, 49-52 (2010)
[3]	Li, L.; Liu, Y.-A.; Tang, B.-H., SNMS: an intelligent transportation system network architecture based on WSN and P2P network, Journal of China Universities of Posts and Telecommunications, 14, 1, 65-70 (2007)
[4]	Sun, J.; Wu, Z.-H.; Pan, G., Context-aware smart car: from model to prototype, Journal of Zhejiang University: Science A, 10, 7, 1049-1059 (2009)
[5]	Wu, Z.; Liu, Y.; Pan, G., A smart car control model for brake comfort based on car following, IEEE Transactions on Intelligent Transportation Systems, 10, 1, 42-46 (2009)
[6]	Wang, X.; Li, H.; Zhu, Y., Design on automatic control system for smart car based on \(μC\)/OS-II, Proceedings of the 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems (CCIS ’12)
[7]	Yin, S.; Luo, H.; Ding, S., Real-time implementation of fault-tolerant control systems with performance optimization, IEEE Transactions on Industrial Electronics, 64, 5, 2402-2411 (2014)
[8]	Yin, S.; Wang, G.; Karimi, H. R., Data-driven design of robust fault detection system for wind turbines, Mechatronics, 24, 4, 298-306 (2014)
[9]	Yin, S.; Ding, S. X.; Abandan Sari, A. H.; Hao, H., Data-driven monitoring for stochastic systems and its application on batch process, International Journal of Systems Science, 44, 7, 1366-1376 (2013) · Zbl 1278.93259
[10]	Yin, S.; Ding, S. X.; Haghani, A.; Hao, H.; Zhang, P., A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process, Journal of Process Control, 22, 9, 1567-1581 (2012)
[11]	Yin, S.; Yang, X.; Karimi, H. R., Data-driven adaptive observer for fault diagnosis, Mathematical Problems in Engineering, 2012 (2012) · Zbl 1264.93115
[12]	Chai, L.; Gong, M.; Liu, X.; Zhang, X.; Hu, C., Implementation of fuzzy-PID in smart car control, Journal of Measurement Science and Instrumentation, 1, 75-77 (2010)
[13]	Xiao, B.; Hu, Q.; Zhang, Y., Adaptive sliding mode fault tolerant attitude tracking control for flexible spacecraft under actuator saturation, IEEE Transactions on Control Systems Technology, 20, 6, 1605-1612 (2012)
[14]	Xiao, B.; Hu, Q.-L.; Ma, G., Adaptive sliding mode backstepping control for attitude tracking of flexible spacecraft under input saturation and singularity, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 224, 2, 199-214 (2010)
[15]	Wang, Z.; Liu, Y., Design of smart car speed control system based on fuzzy classifying and PI speed regulation, Proceedings of the 2010 2nd International Conference on Industrial Mechatronics and Automation (ICIMA ’10)
[16]	Zhendong, S.; Ke, L.; Qingzhou, Y.; Lei, O.; Xingxing, Z., Smart car control system based on infrared sensor, Journal of Hubei Automotive Industries Institute, 3, 11-14 (2007)
[17]	Liu, T.; Gao, F.; Wang, Y., IMC-based iterative learning control for batch processes with uncertain time delay, Journal of Process Control, 20, 2, 173-180 (2010)
[18]	Zhang, S. M.; Deng, W. W.; Wang, Y.; Shang, B. X., An internal model control (IMC) algorithm for automatic trajectory tracking, Advanced Materials Research, 712-715, 2296-2302 (2013)
[19]	Wu, Z.; Zhao, L.; Feng, L., Control of intelligent vehicle based on fractional order PID, Control Engineering of China, 3, 401-404 (2011)
[20]	Lei, J.; Luo, M.; Chu, C. Z., Design and development of smart car DC motor speed control system, Proceedings of the 31st Chinese Control Conference (CCC ’12)