Tracking control and robustness study of shifting process

• Autorzy: Zhao X. , Guan Ch.

Identyfikatory

DOI

10.5604/01.3001.0012.2111

• Języki publikacji: EN

Abstrakty

EN

Heavy dump vehicles are usually working with big load changes and bad work environment, thus change the friction performance of transmission clutches, as well as great affect the shift quality seriously, which influence the vehicle performance. Many researchers developed a lot to design a useful automatic transmission control system. Using PID tracking control and Monte Carlo method, the controller based on an dynamic model was set up to analyze the shifting process of automatic transmission and its robustness in this paper. The shift process was divided into four stages, low-gear phase, torque phase, inertia phase and high-gear phase. The model presents the process from the first gear to the second gear when the torque has big change. Since the jerk and the friction work of clutch are both related to the speed of clutch which was easier to control, it was chose as the target to control the oil pressure for satisfying the requirement of shift quality. The simulation software, Maplesim and Simulink, were used to build the vehicle model and shifting controller for simulation under different working conditions, and the maximum jerk was changed from 34 m/s3 to 12 m/s3 after the optimization. In this paper the Monte Carlo has been used to quantize and evaluate the robustness of the closed-loop system for the friction coefficients and output torque of turbine variation leading by the friction feature parameters and throttle angle changed. Monte Carlo method was used to analyze the effectiveness and robustness of PID controller, which proves that it has good control effect when the throttle is ongoing minor fluctuations. When the throttle is full opening, a quadratic optimal controller based on disturbance is designed by the method of multi-objective optimization. When it changes within 20 percent, PID controller was designed under the guidance of tracking thoughts. The results also show that the controller could still obtain better effect when the friction coefficient ranged from -40 % to 40 % as well as engine torque changed from -20 % to 20 %, which indicates the robustness of controller.

Słowa kluczowe

EN

heavy vehicles; automatic transmission; shift quality; PID tracking control; Monte Carlo method

PL

pojazdy ciężkie; skrzynia automatyczna; zmiana wytrzymałości; proces kontroli; metoda Monte Carlo

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2018
• Tom: Vol. 46, iss. 2
• Strony: 97--104
• Opis fizyczny: Bibliogr. 16 poz., rys., wykr.

Twórcy

autor

Zhao X.

• School of mechanical engineering, University of science and technology Beijing, Beijing, China

autor

Guan Ch.

• School of mechanical engineering, University of science and technology Beijing, Beijing, China

Bibliografia

• [1] ALMEIDA L.F., VELLASCO M.M.B.R., PACHECO M.A.C., 2010. Optimization system for valve control in intelligent wells under uncertainties. Journal of Petroleum Science and Engineering, 73(1), 129-140.
• [2] CHEN, L., 2016. Application analysis of Monte Carlo method of control system. Software guide, 15(5), 10-12.
• [3] GAO J., 2012. Research on shift quality control for automatic transmission. Harbin: Harbin institute of technology.
• [4] GAO, B., 2015. Optimal trajectory planning of motor torque and clutch slip speed for gear shift of a two-speed electric vehicle. Journal of Dynamic Systems Measurement and Control, 137(6), 061016.
• [5] HOU, Y.S., WANG X.L., ZHANG Y. & GUO J.L., 2016. Dimensional importance based quasi-Monte Carlo method for power system reliability evaluation. Automation of electric power systems, 40(16), 31-37.
• [6] LAGERBERG, A., 2004. Control and estimation of automotive power trains with backlash. Zurich: Swiss Federal Institute of Technology.
• [7] LI, T.S., LIU, Q.F. & HU. Y.F., 2013. Design of clutch-slip controller using PID and parameters optimization. Control engineering of China, S1, 223-227.
• [8] MOUSAVI, M.S.R., BOULET B., 2014. Modeling, simulation and control of a seamless two-speed automated transmission for electric vehicles. In 2014 American Control Conference. New York, June 4 - 6. New York: IEEE. 3826- 3831.
• [9] MURAKAMI N., 1974. Control system for automatic transmission: US，3831465, 1974-8-27.
• [10] SAMANUHUT, P., 2011. Modeling and control of automatic transmission with planetary gears for shift quality. Arlington: University of Texas at Arlington.
• [11] TAO, Y., 2002.The Application of new PID control. 2nd ed. Beijing: China Machine Press , (Chapter 2).
• [12] WIECZOREK, A.N., 2016. Analysis of the possibility of integrating a mining right-angle planetary gearbox with technical diagnostics systems. Scientific Journal of Silesian University of Technology. Series Transport, 93, 149-163.
• [13] YU, Z., 2009.The theory of vehicle. 5th ed. Beijing: China Machine Press, (Chapter 3).
• [14] YUAN, S.L.,CHEN L., 2013. Model reference control to reduce both the jerk and frictional loss during DCT gear shifting. In 2013 American Control Conference. New York, Jun 17 - Jun 19. New York: IEEE. 6721-6726.
• [15] ZHANG, Y, 2015. Research on shift strategy and quality of hydro dynamic automatic transmission for heavy-duty vehicle. Jilin: Jilin University.
• [16] ZHONG, Z.M., KONG G., YU Z., XIN X. &CHEN X., 2012. Shifting control of an automated mechanical transmission without using the clutch. International Journal of Automotive Technology, 13(3), 487-496.