1 | /* |
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2 | \file |
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3 | \brief Models for synchronous electric drive using IT++ and BDM |
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4 | \author Vaclav Smidl. |
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5 | |
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6 | ----------------------------------- |
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7 | BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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8 | |
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9 | Using IT++ for numerical operations |
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10 | ----------------------------------- |
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11 | */ |
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12 | |
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13 | #include <itpp/itbase.h> |
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14 | #include <estim/libKF.h> |
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15 | #include <estim/libPF.h> |
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16 | #include <stat/libFN.h> |
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17 | |
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18 | #include "pmsm.h" |
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19 | #include "simulator.h" |
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20 | |
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21 | #include "iopom.h" |
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22 | |
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23 | using namespace itpp; |
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24 | //!Extended Kalman filter with unknown \c Q |
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25 | class EKF_unQ : public EKFCh , public BMcond { |
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26 | public: |
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27 | //! Default constructor |
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28 | EKF_unQ ( RV rx, RV ry,RV ru,RV rQ ) :EKFCh ( rx,ry,ru ),BMcond ( rQ ) {}; |
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29 | void condition ( const vec &Q0 ) { |
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30 | Q.setD ( Q0,0 ); |
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31 | //from EKF |
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32 | preA.set_submatrix ( dimy+dimx,dimy,Q._Ch() ); |
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33 | }; |
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34 | void bayes(const vec dt){ |
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35 | EKFCh::bayes(dt); |
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36 | |
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37 | vec xtrue(4); |
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38 | //UGLY HACK!!! reliance on a predictor!! |
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39 | xtrue(0)=x[0]; |
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40 | xtrue(1)=x[1]; |
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41 | xtrue(2)=x[2]; |
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42 | xtrue(3)=x[3]; |
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43 | |
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44 | ll = -0.5* ( 4 * 1.83787706640935 +_P.logdet() +_P.invqform(xtrue)); |
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45 | } |
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46 | }; |
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47 | class EKF_unQful : public EKFfull , public BMcond { |
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48 | public: |
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49 | //! Default constructor |
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50 | EKF_unQful ( RV rx, RV ry,RV ru,RV rQ ) :EKFfull ( rx,ry,ru ),BMcond ( rQ ) {}; |
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51 | void condition ( const vec &Q0 ) { |
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52 | Q=diag(Q0); |
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53 | }; |
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54 | void bayes(const vec dt){ |
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55 | EKFfull::bayes(dt); |
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56 | |
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57 | vec xtrue(4); |
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58 | //UGLY HACK!!! reliance on a predictor!! |
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59 | xtrue(0)=x[0]; |
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60 | xtrue(1)=x[1]; |
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61 | xtrue(2)=x[2]; |
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62 | xtrue(3)=x[3]; |
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63 | |
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64 | BM::ll = -0.5* ( 4 * 1.83787706640935 +log(det(P)) +xtrue* ( inv(P)*xtrue ) ); |
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65 | } |
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66 | }; |
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67 | |
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68 | void set_simulator_t(double &Ww) { |
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69 | |
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70 | if (t>0.2) x[8]=1.2; // 1A //0.2ZP |
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71 | if (t>0.4) x[8]=10.8; // 9A |
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72 | if (t>0.6) x[8]=25.2; // 21A |
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73 | |
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74 | if (t>0.7) Ww=2.*M_PI*10.; |
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75 | if (t>1.0) x[8]=1.2; // 1A |
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76 | if (t>1.2) x[8]=10.8; // 9A |
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77 | if (t>1.4) x[8]=25.2; // 21A |
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78 | |
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79 | if (t>1.6) Ww=2.*M_PI*50.; |
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80 | if (t>1.9) x[8]=1.2; // 1A |
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81 | if (t>2.1) x[8]=10.8; // 9A |
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82 | if (t>2.3) x[8]=25.2; // 21A |
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83 | |
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84 | if (t>2.5) Ww=2.*M_PI*100; |
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85 | if (t>2.8) x[8]=1.2; // 1A |
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86 | if (t>3.0) x[8]=10.8; // 9A |
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87 | if (t>3.2) x[8]=25.2; // 21A |
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88 | |
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89 | if (t>3.4) Ww=2.*M_PI*150; |
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90 | if (t>3.7) x[8]=1.2; // 1A |
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91 | if (t>3.9) x[8]=10.8; // 9A |
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92 | if (t>4.1) x[8]=25.2; // 21A |
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93 | |
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94 | if (t>4.3) Ww=2.*M_PI*0; |
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95 | if (t>4.8) x[8]=-1.2; // 1A |
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96 | if (t>5.0) x[8]=-10.8; // 9A |
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97 | if (t>5.2) x[8]=-25.2; // 21A |
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98 | |
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99 | if (t>5.4) Ww=2.*M_PI*(-10.); |
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100 | if (t>5.7) x[8]=-1.2; // 1A |
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101 | if (t>5.9) x[8]=-10.8; // 9A |
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102 | if (t>6.1) x[8]=-25.2; // 21A |
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103 | |
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104 | if (t>6.3) Ww=2.*M_PI*(-50.); |
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105 | if (t>6.7) x[8]=-1.2; // 1A |
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106 | if (t>6.9) x[8]=-10.8; // 9A |
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107 | if (t>7.1) x[8]=-25.2; // 21A |
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108 | |
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109 | if (t>7.3) Ww=2.*M_PI*(-100.); |
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110 | if (t>7.7) x[8]=-1.2; // 1A |
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111 | if (t>7.9) x[8]=-10.8; // 9A |
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112 | if (t>8.1) x[8]=-25.2; // 21A |
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113 | if (t>8.3) x[8]=10.8; // 9A |
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114 | if (t>8.5) x[8]=25.2; // 21A |
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115 | |
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116 | if (t>9) Ww=2.*M_PI*0; |
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117 | x[8]=0.0; |
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118 | } |
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119 | |
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120 | int main() { |
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121 | // Kalman filter |
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122 | int Ndat = 90000; |
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123 | double h = 1e-6; |
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124 | int Nsimstep = 125; |
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125 | int Npart = 50; |
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126 | |
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127 | //StrSim:06: |
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128 | vec SSAT(Ndat); |
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129 | |
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130 | // internal model |
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131 | IMpmsm fxu; |
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132 | // Rs Ls dt Fmag(Ypm) kp p J Bf(Mz) |
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133 | fxu.set_parameters ( 0.28, 0.003465, Nsimstep*h, 0.1989, 1.5 ,4.0, 0.04, 0.0 ); |
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134 | // observation model |
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135 | OMpmsm hxu; |
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136 | |
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137 | vec mu0= "0.0 0.0 0.0 0.0"; |
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138 | // vec Qdiag ( "0.01 0.01 0.01 0.0001" ); //zdenek: 0.01 0.01 0.0001 0.0001 |
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139 | vec Qdiag ( "10 10 10 0.001" ); //zdenek: 0.01 0.01 0.0001 0.0001 |
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140 | vec Rdiag ( "100 100" ); //var(diff(xth)) = "0.034 0.034" |
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141 | chmat Q ( Qdiag ); |
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142 | chmat R ( Rdiag ); |
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143 | EKFCh KFE ( rx,ry,ru ); |
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144 | KFE.set_est ( mu0, chmat( 1*eye ( 4 ) ) ); |
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145 | KFE.set_parameters ( &fxu,&hxu,Q,R); |
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146 | |
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147 | RV rQ ( "100","{Q}","4","0" ); |
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148 | EKF_unQful KFEp ( rx,ry,ru,rQ ); |
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149 | KFEp.set_est ( mu0, 1*ones ( 4 ) ); |
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150 | KFEp.set_parameters ( &fxu,&hxu,diag(Qdiag),diag(Rdiag) ); |
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151 | |
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152 | mgamma_fix evolQ ( rQ,rQ ); |
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153 | MPF<EKF_unQful> M ( rx,rQ,evolQ,evolQ,Npart,KFEp ); |
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154 | // initialize |
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155 | evolQ.set_parameters ( 1000.0 ,Qdiag, 0.5); //sigma = 1/10 mu |
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156 | evolQ.condition ( Qdiag ); //Zdenek default |
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157 | epdf& pfinit=evolQ._epdf(); |
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158 | M.set_est ( pfinit ); |
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159 | evolQ.set_parameters ( 100000.0, Qdiag, 0.9999 ); |
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160 | |
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161 | // |
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162 | |
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163 | epdf& KFEep = KFE._epdf(); |
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164 | epdf& Mep = M._epdf(); |
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165 | |
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166 | mat Xt=zeros ( Ndat ,9 ); //true state from simulator |
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167 | mat Dt=zeros ( Ndat,4+2 ); //observation |
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168 | mat XtE=zeros ( Ndat, 4 ); |
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169 | mat XtM=zeros ( Ndat,4+4 ); //Q + x |
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170 | |
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171 | // SET SIMULATOR |
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172 | pmsmsim_set_parameters ( 0.28,0.003465,0.1989,0.0,4,1.5,0.04, 200., 3e-6, h ); |
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173 | double Ww=0.0; |
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174 | vec dt ( 2 ); |
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175 | vec ut ( 2 ); |
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176 | |
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177 | for ( int tK=1;tK<Ndat;tK++ ) { |
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178 | //Number of steps of a simulator for one step of Kalman |
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179 | for ( int ii=0; ii<Nsimstep;ii++ ) { |
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180 | //simulator |
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181 | set_simulator_t(Ww); |
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182 | pmsmsim_step ( Ww ); |
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183 | }; |
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184 | // collect data |
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185 | ut ( 0 ) = KalmanObs[0]; |
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186 | ut ( 1 ) = KalmanObs[1]; |
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187 | dt ( 0 ) = KalmanObs[2]; |
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188 | dt ( 1 ) = KalmanObs[3]; |
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189 | |
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190 | //estimator |
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191 | KFE.bayes ( concat ( dt,ut ) ); |
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192 | M.bayes ( concat ( dt,ut ) ); |
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193 | SSAT(tK) = M.SSAT; |
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194 | |
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195 | Xt.set_row ( tK,vec ( x,9 ) ); //vec from C-array |
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196 | Dt.set_row ( tK, concat ( dt,ut,vec_1(sqrt(pow(ut(0),2)+pow(ut(1),2))), vec_1(sqrt(pow(dt(0),2)+pow(dt(1),2))) ) ); |
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197 | XtE.set_row ( tK,KFEep.mean() ); |
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198 | XtM.set_row ( tK,Mep.mean() ); |
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199 | } |
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200 | |
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201 | /* it_file fou ( "pmsm_sim.it" ); |
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202 | |
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203 | fou << Name ( "xth" ) << Xt; |
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204 | fou << Name ( "Dt" ) << Dt; |
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205 | fou << Name ( "xthE" ) << XtE; |
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206 | fou << Name ( "xthM" ) << XtM; |
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207 | fou << Name ( "SSAT" ) << SSAT;*/ |
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208 | //Exit program: |
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209 | |
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210 | char tmpstr[200]; |
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211 | sprintf(tmpstr,"%s/%s","here/","format"); |
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212 | ofstream form(tmpstr); |
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213 | form << "# Experimetal header file"<< endl; |
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214 | dirfile_write(form,"here/",Xt,"X","{isa isb om th }" ); |
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215 | dirfile_write ( form,"here",XtM,"XtM","{q1 q2 q3 q4 isa isb om th }" ); |
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216 | dirfile_write ( form,"here",XtE,"XE","{isa isb om th }" ); |
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217 | dirfile_write ( form,"here",Dt,"Dt","{isa isb ua ub }" ); |
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218 | |
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219 | //////////////// |
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220 | // Just Testing |
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221 | /* NcFile nc ( "pmsm_sim2.nc", NcFile::Replace ); // Create and leave in define mode |
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222 | if ( ! nc.is_valid() ) { std::cerr << "creation of NCFile failed."<<endl;} |
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223 | |
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224 | write_to_nc ( nc,Xt,"X","{isa isb om th }" ); |
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225 | write_to_nc ( nc,XtM,"XtM","{q1 q2 q3 q4 isa isb om th }" ); |
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226 | write_to_nc ( nc,XtE,"XE","{isa isb om th }" ); |
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227 | write_to_nc ( nc,Dt,"Dt","{isa isb ua ub }" );*/ |
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228 | return 0; |
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229 | } |
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