Tang Chaoli

Simulation Research of the QoS Multicast Routing in WSN Based on QPSO Algorithm

The energy constraint bottleneck in the wireless sensor networks (WSN) exist objectively. To reduce energy consumption and ensure the Quality of Service (QoS) in data transmission, a method of solving the QoS multicast routing in WSN by quantum particle swarm optimization algorithm (QPSO). The algorithm is based on PSO, quantum-bit, principle of superposition and quantum gates. By the premise of avoiding local convergence and reducing the energy consumption, it can solving the QoS multicast routing rapidly, which help to prolong the network lifetime efficiently. The simulation results indicate that its feasibility and effectiveness.

Direct torque control of induction motor by use of neural network

General mapping regressor neural network is an incremental self organizing neural network with chains among neurons. This paper deals with the application of the general mapping regressor neural network to the direct torque control of an induction motor. In particular a classical direct torque control strategy has been learnt by the general mapping regressor neural network and then the performance of the neural controller has been verified both in numerical simulations and experimentally by means of a properly devised test bench. The good working of the general mapping regressor neural network has been experimentally verified

Research on brine flux control based on fuzzy-immune PID algorithm in freezing station

According to the characteristics of pure delay, time-varying and nonlinear in brine freezing sinking flow control system, therefore, the author imported the fuzzy theory into intelligent immune feedback control algorithm and designed a kind of embedded intelligent flux controller based on fuzzy-immune adaptive PID algorithm. Results show that this controller has better static and dynamic control performance than traditional PID control and fuzzy PID control, whats more its overshoot is less, adapt ability is better, stable speed is faster, which has good significance to technology renovation of frequency control of coal mine freezing sinking.

The Application of Fractional Order PI^?D^μ Controller in Coaler

The control to the speed of coaler actually is the control to diesel engines speed, in this paper we tune the parameters of fractional order controller by using immune clone selection algorithm and simulate the result by using mat lab. The result demonstrate that fractional order controller has very good dynamic performance and strong robust than general integrate PID controller. It largely improved the defect of speed control system of diesel engine and has broader prospect.

Niche Ant Colony Algorithm and Simulation Study

A niche ant colony algorithm (NACA) for multi-modal function optimization, which bases on principle of ant colony algorithm, is devised. It adopts real code. By simulation research of the NACA, and comparing with correlative algorithms, the results show that the NACA has advantages, such as easy to select parameters, strong adaptability, and good convergence, and is very suitable for multi-modal functions optimization with searching for multiple optimal solutions or global optimal solutions.