动态矩阵控制算法在啤酒发酵温控中的应用

hree dof helicopter model system as the research target, realize stable control the helicopter flight attitude problem. , particle swarm optimization algorithm to optimize the weights of neural network and PID initial value, prevent the set parameters into local extreme, again is introduced in this paper, the control algorithm, the whole order neurons with RBF neural network PID control algorithm, particle swarm optimization RBF - NNPID controller is designed, through the Jocabian identification information to online setting of PID parameter values, achieve the desired control objective, and matrix of the object as the body system model, MATLAB Simulink module structures, the simulation and experiment. The particle swarm algorithm to get the optimal initial weights into the neural network PID controller can obtain satisfactory result, control is not only fast approaching control target, and response.