| Modern industry processes usually bring lots of wastewater, which can pollute environment if it is disposed improperly. In addition, the quality of the water used in processes is also restricted, while the pH value is out of the requested range, the processes may can't advance successfully, even can reduce the quality of production. Therefore, it is essential to investigate the control of pH value.After surveying and studying the domestic and international research's current situation and application technology, the general design scheme was advanced for the pH-process according to its mechanism model and practical requirement. Because pH-process is a typical nonlinear process and this kind of process can't be controlled effectively by conventional linear control method, therefore, fuzzy predictive algorithm was selected for designing controller to realize system's optimization control.In this paper, the T-S model of pH neutralization process was identified via fuzzy c mean clustering and orthogonal least-squares algorithm; on the basis of it the generalized predictive controller was designed. The effective performance of the controller was validated by MATLAB simulation. This design supplies an effective and practical method for controlling nonlinear system without considering the object's structure.On the basis of theory analysis and emulation, the design scheme based on TMS320F2812 DSP was developed. The hardware was divided into basic control system, the input and output of analog signal, and the input and output of digital signal block to design main circuits. The software's center was how to realize the fuzzy predictive control with method of modularization. It was designed in aspects of data sample and dispose, model identification and fuzzy predictive control, and each aspect can be divided into several models to design separately. The models can be recalled with input, output and parameters later. Therefore, it has generality to many systems. |
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