Research And Application Of Temperature Nolinear Control Technology Based On ARM

In the areas of medical equipment, household appliances, industrial and agriculturalproduction, the control problem is everywhere,and the control of parameters such astemperature, pressure, flow has an extremely important impact on the quality of productsand production processes. Among of them, the temperature control is an importantindicator in the control areas. In the temperature controller system, the more commoncontrollers are PLC, microcontroller, ARM, the ARM microcontrollers provide morefavorable conditions for control applications because of it’s faster, smaller, morehomogeneous. In the control algorithm, the most common is the classic PID controlalgorithm, as well as various PID algorithm combination, such as fuzzy PID, neuralnetwork PID. However, it can not meet the system adaptable and intelligent requirementsbecause of adjustment and the response of the parameters, a long response time and largeovershoot. In fact, due to the endothermic heat in the different heating phases even in thesame heating process, the PID parameters of the system should be different, but it isdifficult to automate in the control, which brought many problems to the applications andinconveniences: the parameter adaptive is weak, the control accuracy is low. Therefore, thesame set of PID control parameters are almost impossible to adapt to a variety of heatingan object or a different heating stage.The main purpose of this paper is to transform the traditional temperature controlsystem based on the microcontroller or PLC by the use of the superior performance andfeatures of ARM, to achieve the complex calculations and analysis, and also hope that thesame set of control parameters can adapt to different heated objects or different heatingstagesituations as affordable as possible. The characteristics of ARM are the achievementfor complex programming calculation by its speed, fast communication, and it has reacheda very high level in terms of size, power consumption, system stability. ARM can provide asuperior platform which contains signal acquisition, computing and communication. In thispaper, we use the ARM embedded real-time systems and temperature control algorithm toachieve multi-tasking execution, we design the application software and algorithm in theKeil-μVision4platform, then achieve the control of temperature through the STM32platform. We get the nonlinearity, degeneration, and the lag characteristics of the electric furnace as the object of experiment, testing the performance of temperature control system.First,this paper outlines the development and application of the controller and controlalgorithm in the temperature control system, and the development of embeddedmicrocontroller and the salient features new method in the first and second chapter; thesystem design options and choices are introduced in the third chapter; in Chapter IV, itdescribes the design of system hardware and implementation of circuits in detail, themicroprocessor STM32F103ZET6which has a scalable multi-I/O, larger flash memory andRAM is used to design hardware platform including serial communication, data acquisitionand processing, control devices and other functional modules;in the fifth chapter, there hasthe introduction of transplantation on real-time operating system μC/OS-Ⅱ, the systemsoftware design, the application software and algorithm design, of the classic PID controlalgorithm is transformed properly, the concept and calculation of the balance of power andtemperature non-linear forecast are introduced, in the electric furnace experience, wecontrol the different heating processes with the same set of control parameters and itachieves good goals; finally, there have a summary and outlook, noting that the direction offuture research and content.Through the experiments, we get the following conclusions:(1) it is feasible andeffective to use the ARM technology in the control platform;(2) it is proved that PIDimproved algorithm is applicable in Temperature Control System by experiments;(3) thebalance of power and temperature forecastsmake the control process more effective;(4)thecombination of ARM technology and advanced algorithm is applicable to high-precisioncontrol of the occasion, it also can be widely used in industrial control systems, signalsystems and other fields of biomedical engineering.