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论文类型：会议论文

发表时间：2012-07-25

收录刊物：EI、CPCI-S、Scopus

页面范围：2911-2916

关键字：artificial immunology; clonal selection algorithm; adaptive control; candidate controller

摘要：A clonal selection based adaptive control algorithm is developed by applying clonal selection algorithm to the adaptive control problem. For the dynamical uncertainty of both the plant and the environmental disturbance, the adaptive machine of clonal selection dopes out the plant output by a plant model according to the plant inputs, and then evaluates the candidate controllers before selecting the fittest controller to the current plant operating conditions. Thus the actual controller is tuned on-line to adapt the plant and environment. In simulations, a third order nonlinear model was adopted as a cargo ship, a second order linear model as its model, and the PID control law was applied to them. The results show that the proposed controller can adapt well the dynamical plant and the environmental disturbance.