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Research on Rotary Kiln Temperature Control Systems of Titanium Yellow Powder

Author: DuShunQi
Tutor: WangSuiPing
School: Central South University
Course: Control Science and Engineering
Keywords: Titanium yellow powder rotary kiln calcining temperature generalized predictive control
CLC: TQ622.12
Type: Master's thesis
Year: 2011
Downloads: 66
Quote: 1
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Abstract


It is important of the Titanium yellow powder quality and saving the energy of the line to control the calcination temperature of the rotary kiln. Low or high temperature will affect on the quality of the product or lead to wasting of fuel. Titanium yellow powder production today is not large, far below the market demand. Low automatic control level of many Titanium yellow powder rotary kilns is carrying out now through DCS for romate control. During the research or automatic control and process optimize, fuzzy control and expert system are mainly based on operators experience, that is, simulating the experience of outstanding field operators and Titanium yellow powder process experts to carry out automatic control.It could gain the automatic purpose in practice and get better effect than full manual operation. However, it has no optimization function on theory, no rapid responsive speed and low productivity effect. This dissertation introduces the generalized predictive arithmatic into temperature control system on the rotary kiln for producing Titanium yellow powder.First, based on the summarization of generalized predictive control development in the past 40 years, a generalized predictive control is conducted into time-delay system and a remarkable effect has appeared by improving control performance. Second, through analysising the temperature control process on the rotary kiln for Titanium yellow powder, a predictive model is built. And a simulation in MATLAB is conducted based on generalized predictive control theory and the results are compared with PID and fuzzy control. As a conclusion, generalized predictive control can overcome the effects of uncertainties and time delay. The control system responses speedly. A high robustness accompanes it. The better control veracity and steady performance are contributed to the system. In this paper, an infrared thermometer is used to measure the temperature of the kiln and generalized predictive control is used to control the calcination temperature. In additon, the paper provides basic hardware design. A real-time monitor is realized. The calcining section temperature of kiln based on generalized predictive control is well governed.

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