自适应模糊PID温度控制算法源代码

以下是一个自适应模糊PID温度控制算法的示例代码：

//定义PID参数
double Kp = 1.0;
double Ki = 0.0;
double Kd = 0.0;

//定义误差及误差积分、微分
double error = 0.0;
double last_error = 0.0;
double error_integral = 0.0;
double error_derivative = 0.0;

//定义控制变量
double output = 0.0;

//定义模糊控制器参数
double e[] = {-3,-2,-1,0,1,2,3}; //定义误差的模糊集合
double de[] = {-3,-2,-1,0,1,2,3}; //定义误差微分的模糊集合
double u[] = {-10,-5,0,5,10}; //定义控制量的模糊集合
double rule[7][7][5]; //定义规则库

//初始化规则库
for (int i = 0; i < 7; i++) {
    for (int j = 0; j < 7; j++) {
        for (int k = 0; k < 5; k++) {
            rule[i][j][k] = 0.0;
        }
    }
}

//设置规则库
rule[3][3][0] = 10.0;
rule[3][3][1] = 5.0;
rule[3][3][2] = 0.0;
rule[3][3][3] = -5.0;
rule[3][3][4] = -10.0;

//定义模糊函数
double fuzzy(double x, double a, double b, double c) {
    if (x <= a || x >= c) {
        return 0.0;
    } else if (x >= b) {
        return (c - x) / (c - b);
    } else {
        return (x - a) / (b - a);
    }
}

//模糊控制器
double fuzzy_controller(double e, double de) {
    double u_total = 0.0;
    double w_total = 0.0;
    for (int i = 0; i < 7; i++) {
        for (int j = 0; j < 7; j++) {
            double w = fuzzy(e, e[i]-1, e[i], e[i]+1) * fuzzy(de, de[j]-1, de[j], de[j]+1);
            w_total += w;
            for (int k = 0; k < 5; k++) {
                u_total += w * u[k] * rule[i][j][k];
            }
        }
    }
    return u_total / w_total;
}

//自适应PID控制器
double adaptive_pid_controller(double e) {
    //计算误差微分
    error_derivative = e - last_error;
    //计算误差积分
    error_integral += e;
    //计算控制量
    output = Kp * e + Ki * error_integral + Kd * error_derivative;
    //模糊控制
    output += fuzzy_controller(e, error_derivative);
    //更新上一次误差
    last_error = e;
    return output;
}

以上代码仅为示例，实际应用中需要根据具体需求进行修改和优化。