Mingzhe Yuan

Self-Tuning PID Based on Adaptive Genetic Algorithms with the Application of Activated Sludge Aeration Process

Activated sludge aeration process is a non-linear system subject to large perturbations in flow and load, together with uncertainties on the composition of the incoming wastewater. Traditional PID control lacks the ability to overcome these disturbances. In order to achieve adaptive process performances, an adaptive genetic algorithm (AGA) was proposed to tune the parameters of an activated sludge aeration PID controller. Several self-tuning algorithms, specifically Ziegler-Nichols (Z-N), internal model control (IMC) and Kappa-tau were also applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using an adaptive genetic algorithm (AGA) to tune PID controller. By comparing, the proposed algorithm, which is used to tune the parameters of PID controller, achieves satisfactory response of a PID controller actuating over the aeration process in an activated sludge process

Research on application of IOT in domestic waste treatment and disposal

There have been a number of deficiencies in domestic waste source regulation, dynamic monitoring, etc.. caused by geographical conditions, technology and other factors for a long time which brought low efficiency and illegal behaviors to refuse treatment. As a new network technology, IOT has significant advantages for its traceability, dynamic characteristics in solving the problems above. This paper established a brief introduction of IOT, summarizing its application in domestic waste treatment and disposal. In case of a certain place, the current situation and existing problems were presented. Furthermore, the promotion of Information management efficiency were expounded and prospected with the combination of the Internet of Things technology.

Simulation of system identification and decoupling control of rotary lime kiln system

Lime is an important smelting raw material for iron& steel plants. Most of large and medium-scale iron& steel enterprises have their own lime works for self-supply. Reasonable control for the lime kiln is significant to reduce energy consumption and improve the pass rate of lime quality. In this paper, the model described in literature is applied to simulate the actual operating conditions of rotary lime kiln. The method of step response is adopted to identify the object with two inputs (the fuel flow rate and damper position) and two outputs (the temperatures in the front and the end of the kiln) into a first order, strong coupling linear system model and the validity of the model is verified as well. On the basis of the identified model, we design a decoupling controller. The simulation results show that the controller can accurately track the instructions to the temperatures at the front and the end of the kiln respectively with high stability and control accuracy. The method and conclusions of this paper may provide reference to the design of lime kiln combustion control system.