閥殼油封軸承壓裝機(jī)設(shè)計(jì)【含全套CAD圖紙】

喜歡就充值下載吧，資源目錄下展示的全都有，下載后全都有，dwg格式的為CAD圖紙，有疑問咨詢QQ：414951605 或1304139763 HIL Simulation of Aircraft Thrust Reverser Hydraulic System in Modelica Zhao Jianjun1 Li Ziqiang1 Ding Jianwan1 Chen Liping1 Wang Qifu1 Lu Qing2 WangHongxin2 Wu Shuang2 1: CAD Centre, Mechanical School, Huazhong Univ. Sci.& Tech. Wuhan, Hubei, China, 430074 2: Shanghai Aircraft Design and Research Institute, Commercial Aircraft Corp. of China Ltd., Shanghai, 200436 jjzhao168, willhave, jwdingwh, Abstract This article describes a solution to create a hardware-in-the-loop (HIL) simulation system of civil aircraft thrust reverser with Modelica-based simulation plat-form - MWorks in Windows system. The HIL sys-tem uses simulation platform “MWorks” to model and simulate the thrust reverser hydraulic system, and takes hardware - PLCs output signals as the inputs of the simulation. Modeling module, commu-nication module, solving module, animation module and HIL control module are included in the simula-tion platform, whose key technology and implemen-tation details are specified. The HIL system has been successfully applied to the simulation of ARJ21 air-craft thrust reverser hydraulic system. It can simulate the hydraulic system in normal status, fault status as well as other working conditions to verify control logic and evaluate key performance of the system, thereby helping to reduce the cost of experiments and to optimize the design of the system. Keywords: Aircraft thrust reverser hydraulic system, real-time simulation, HIL, Modelica 1 Introduction Thrust reverser 1 as a part of aircraft engine, is air-craft landing deceleration device, which can effec-tively shorten the distance of taxiing. Thrust reverser is a typical complex physical system, involving me-chanical, electronic, hydraulic, control and other domains. In order to verify thrust reversers control logic, we could carry out ground experiment and flight experiment with real pieces of the thrust re-verser, but this approach has high cost and poor se-curity, and it is limited to different natural conditions. Moreover, with this approach, the test for extreme condition is very difficult. Modelica-based HIL simulation system can resolve above-mentioned problems. Firstly, Modelica 2, 3 is a freely available, object-oriented language for modeling of large, complex, and heterogeneous physical systems. It is suited for multi-domain mod-eling. Models in Modelica are mathematically de-scribed by differential, algebraic and discrete equa-tions. In Modelica we can model the entire thrust reverser, which involves mechanical, electronic, hy-draulic and control domains. Secondly, HIL system uses both real logic control components and thrust reverser model to implement the simulation. This HIL system can verify the control logic in a variety of working conditions, and its cost is very low. Moreover, with this system, there is no need to con-sider the security. This article introduces a solution to create an HIL simulation system of thrust reverser with Modelica-based simulation platform MWorks 4 in common computer with Windows operating system. It use as an example the aircraft thrust reverser of Advanced Regional Jet for the 21st Century (ARJ21) which is designed and manufactured by Commercial Aircraft Corp. of China, Ltd. (COMAC). At first, it intro-duces the overall frame of the HIL simulation system, and then specifies several key modules of the simula-tion platform, which are modules of modeling, solv-ing, communication, animation and HIL control, and finally demonstrates a successful application of this system in ARJ21 thrust reverser simulation. 2 System Overview Generally, HIL simulation system is composed of host PC running on Windows operating system and target machine running on real-time operating sys-Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 2009178DOI: 10.3384/ecp09430040tem. This kind of system has high real-time capabil-ity, but is very expensive. ARJ21 aircraft thrust reverser is driven by a hydrau-lic system, which is mainly controlled by six elec-tromagnetic hydraulic valves, whose states all de-pend on the thrust reverser control switch. In the si-mulation, PLC as the thrust reverser controller gen-erates 6 hydraulic valve control signals according to the state of the thrust reverser control switch and feedback signal from simulation platform. And the feedback signal will be only used for fault trigger. Therefore，the simulation does not need very high real-time capability. The HIL simulation system, discussed in this article, does not need expensive true real-time system. It can run on general computer with Windows operat-ing system and the sampling frequency can achieve 50Hz, which is enough for the requirements of the thrust reverser simulation. In Figure 1 the system overview is shown. The HIL simulation system is implemented based on PLC and simulation platform “MWorks”, which consists of five software modules - modeling module, solving module, communication module, animation module and HIL control module. Figure 1: System overview The PLC, used as the hardware part in the HIL sys-tem, receives electrical signal of control switch as well as simulation feedback signal, and sends control signal to the simulation platform after logic opera-tion. MWorks, a Modelica-based integrated development environment, is used as modeling and simulation platform for the HIL simulation system. The thrust reverser is the simulated object, which is modeled in Modelica. According to the model, the solving mod-ule generates the solver, which is responsible for real-time calculation. The communication module is responsible for real-time data exchange between si-mulation platform and the PLC. The animation mod-ule receives the result data from the solving module and drives 3D animation. The HIL control module, whose panel is shown in Figure 2, is responsible for starting and terminating the simulation, setting simu-lation parameters, displaying key data as well as communicating with other modules. Figure 2: HIL Simulation System The simulation process is as follows: 1) After analyzing the thrust reverser system, com-ponent models and system models are created in Modelica. 2) After setting simulation parameters with the panel of the HIL control module, the simulation begins: the HIL control module translates the model, and then the solving module generates a solver, which will be called in a new process. 3) The communication module is called by the HIL control module to receive control signals from PLC. After translating, these signals will be dis-played on the panel, and sent to the solver process. 4) The solver process receives control signal and calculates in every cycle. When the calculation finishes, the solver sends the results to the HIL control module, and wait until the next cycle. Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 20091795) The HIL control module receives the results from the solver process and displays them on the panel of the HIL control module, and delivers them to the animation module to drive real-time anima-tion. At the same time, the HIL control module calls the communication module to send the re-sults as feedback signal to PLC. 6) PLC uses the feedback signals and the state of control switch as input, and after logic operation, sends the control signal to the simulation platform. 7) Repeat the cycle from Step 3 until the termination of the simulation. 3 Key Technologies 3.1 Modeling After analyzing ARJ21 aircraft thrust reverser hy-draulic systems, we developed an exclusive hydrau-lic library: Hydrau_Comac, which is based on Hy-LibLight hydraulic library. Hydrau_Comac library provides ARJ21 thrust reverser hydraulic compo-nents and auxiliary library, such as Isolation Control Valve (ICV), Cowl Lock (CL), Directional Control Valve (DCV), hydraulic actuator, pipe, loads，and characteristics of fluid. These models are constructed according to their physical equations with their pa-rameters calibrated by test results if necessary. To satisfy the requirements of the real-time capability, Hydrau_Comac library also provides simplified real-time component models. The structure of Hy-drau_Comac library is shown in Figure 3. Figure 3: Structure of Hydrau_Comac library Based on HyLibLight library and Hydrau_Comac library, we modeled ARJ21 thrust reverser hydraulic system, provided simplified system model (Figure 4) for real-time HIL simulation, as well as detailed sys-tem model (Figure 5) for off-line simulation. Figure 4: Real-Time System Model for Thrust Re-verser Figure 5: Off-line System Model with Pipes 3.2 Solving Model solving in HIL simulation is different from in off-line simulation. The solving in HIL simulation needs to not only exchange data with external hard-ware, but also guarantee the synchronicity between physical time in real world and logic time in simula-tion. In order to identify input and output data, we used “input” prefix and “output” prefix to modify input variables and output variables, thus we can ensure the order of the calculation - from the input vari-ables to output variables. Besides, according to Modelica specification, input variables and output variables are not only used for external communica-Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 2009180tion, therefore external exchange data needs to be recorded in configuration file. According to the records in configuration file, the solving module associates input/output variables with shared memory. The solver module reads input data from shared memory, and writes output data into there. The HIL control module writes input data coming from PLC into sharing memory, and reads output data from there. The flow chart of real-time solving is shown in fig-ure 6. In every sampling cycle, the solving module gets the input variables from sharing memory, and checks if their value changes, if changes, it means that there is changes in the outside world, which re-sults in an event, so that the solving module need to do event iteration. Then the solving module calcu-lates, and writes required output data into shared memory. Figure 6: Flow Chart of Real-time Solving We use timer to implement the synchronicity. By calling QueryPerformanceFrequency() function, we can obtain machine internal timers clock frequency, and by calling QueryPerformanceCounter() function at two time points, we can get a count. With the fre-quency and the count, we can know the precise time between that two time points. With this method, we can know the time spent in one cycle, and the time is called physical cycle time, which is a variable. The next cycle begins when the physical cycle time is longer than sampling period. The timing error of this method is less than 1ms. In every cycle, the solving module checks whether the time spent on calculating is longer than the sam-pling period. If the calculation overruns the sampling period, but not more than the acceptable time, the module will report a warning. And if the calculation overruns the acceptable time, the module will report an error and quit. Therefore, in order to achieve high real-time capability, the simulation system needs to run on high-performance computer to ensure the speed of solving. 3.3 Communication In HIL simulation, how to communicate between simulation platform and PLC and how to guarantee the precise communication frequency are key factor to real-time capability. By using the communication module, simulation platform communicates with PLC through RS232 serial port . Communication parameters are as fol-lows: 57.6kbps transmission rate, 8-bit data bit, 1-bit stop bit, no parity, and fixed word length data frame. The data transmitted from simulation platform to PLC will be converted to standard data frame ac-cording to the protocol. After receiving, the PLC will translate those data frames to retrieve the content. The communication module calls Windows API function to carry out serial port communication: call-ing CreateFile() function to open the serial port, Wri-teFile() function to write data to the serial port, ReadFile() function to read data from serial port. PLC uses high-speed serial port communication module CP341 to implement communication. FB7 function block of CP341 are responsible for receiv-ing data from simulation platform, and FB8 function block of CP341 are responsible for sending data to simulation platform. Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 2009181By using timer, the frequency of serial port commu-nication can be controlled. Serial port communica-tion frequency is the same as the sampling frequency. PLC uses its internal timer, whose minimum timing interval can be 10ms. Since the PLC is circuit work-ing, so the precision of timing depends on the opera-tional cycle of PLC control program. Under normal circumstances, the operational cycle of PLC control program can be less than 1ms, and the precision can achieve 1ms. The communication module, based on Windows operating system, uses multimedia timer “timeSetEvent()” for timing control, and implements serial port reading and writing operation in callback function, the precision can also achieve 1ms. 3.4 Animation Generally, the implementation of Modelica multi-body animation has 3 steps: firstly, the solver calcu-lates the model to generate result data, which then will be used to form animation data; secondly, geo-metric models are created; thirdly, the geometric models are driven by the animation data and dis-played on the screen. For the real-time simulation, we need to fresh the animation data in every cycle, but it takes so long to fresh the data that the animation cannot satisfy real-time requirements. Fortunately, the thrust reverser has only one motion freedom, that is, the actuation can move back and forth. Therefore, we can create off-line animation at first, and then use the variable of actuator deployed length to control the display of that off-line animation, thus the synchronicity of the animation can be guaranteed. Specific process is as follows: Firstly, establish the multi-body kinematic model of the thrust reverser, and execute off-line simulation to generate simula-tion results document; secondly, read the simulation results document to create 3D animation; thirdly, establish one to one mapping relationship between the variable of actuator deployed length and the off-line animation frames; finally, carry out the real-time simulation, obtain the value of that variable, and use it to drive the animation. 4 Application This HIL simulation system has been successfully applied to the simulation of ARJ21 aircraft thrust reverser hydraulic system. The simulation platform UI is shown in Figure 7. Logic control hardware part is implemented with Siemens S7-300 series PLC, which includes power supply module, CPU module, discrete input module, discrete output module, analog input module, analog output module, serial port communication module and touch panel. PLC control program is developed with STEP7, and touch screen interface (Figure 7) is developed with Flexcible2005. PLC takes the thrust reverser control switch or the data from the touch screen as input signal, after some logic operation, it sends the output data as control signal to simulation platform. Figure 7: Touch Panel of PLC MWorks runs on general computer with Windows operating system. our computer with simulation plat-form MWorks is a Dell desktop with Intel Core2 2.8G CPU, 2G RAM, ATI 3450HD graphics card and 19-inch liquid crystal display. In this configura-tion, the real-time simulation cycle of ARJ21 thrust reverser hydraulic system can achieve 20ms. The result data and curves generated by this HIL si-mulation system are basically in agreement with the tests, the difference is acceptable. (Table 1, Figure 8, Figure 9). Table 1: Deploying Time and Stowing Time of Ac-tuator Deploying Time (s) Stowing Time(s) Experiment 1.08 2.68 Simulation 1.04 2.66 Error 3.7% 0.7% Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 2009182 Figure 8: Experimental Curves of Pressure of The Actuator Figure 9: Simulation Curves of Pressure of The Ac-tuator This HIL simulation system has simple structure and low cost. Through the simulation of ARJ21 aircraft thrust reverser hydraulic system, we can verify the control logic in various working conditions, evaluate key performance of the system, so that the number and cost of the tests can be reduced, and the optimi-zation of the design of ARJ21 aircraft hydraulic sys-tem and tests can be provided with basis. 5 Conclusions This article demonstrates a Modelica-based HIL si-mulation solution exclusively developed for aircraft thrust reverser hydraulic system. The HIL simulation system, running on general computer with Windows operating system, communicates with external hard-ware through serial port. The cost of this HIL simu-lation system is very low, and its sampling period can be up to 20ms, so its especially useful for those situations where very high real-time capability is not required. The prototype application of the simulation of ARJ21 thrust reverser shows that this HIL simulation system, which uses Modelica language to model air-craft thrust reverser hydraulic system and connects with PLC control system, can greatly increase the efficiency of tests, and reduce the number and the cost of tests. The future work is to enhance the real-time capabil-ity of the simulation with general Windows com-puter, as well as to use MWorks to generate target code, which can be used in real-time system. Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant No.60704019 and Grant No.60874064). Special thanks to Medelon Corporation for author-ized use of HyLibLight library. Acronyms ARJ21: Advanced Regional Jet for the 21st Century COMAC: Commercial Aircraft Corp. of China, Ltd. CL: Cowl Lock ICV: Isolation Control Valve DCV: Directional Control Valve PLC: Programmable Logic Controller HIL: Hardware-in-the-Loop References 1 Robert A Jones, Thrust reverser. US4373328, 1983,2. 2 Peter Fritzson, Engelson Vadim. Modelica a unified object oriented language for system modeling and simulationA. Proceedings of the 12th European Conference on Object ori-ented ProgrammingC. 1998, 67 - 90. 3 Peter Fritzson, Principles of Object-Oriented Modeling and Simulation with Modelica 2.1. Piscataway, NJ: IEEE Press, 2004. 4 FAN-LI Zhou, LI-PING Chen, YI-ZHONG Wu, JIAN-WAN Ding, JIAN-JUN Zhao, YUN-QING Zhang, MWorks: a Modern IDE for Modeling and Simulation of Multi-domain Physical Systems Based on Modelica, Proceedings of the 5th International Mode-lica Conference, Volume 2, 725-732, 2006. Proceedings 7th Modelica Conference, Como, Italy, Sep. 20-22, 2009 The Modelica Association, 2009183